{ "slug": "dp_007-q02-codex", "dp": "dp_007", "files": 200, "qid": "q02", "family": "single_hop", "prompt": "What version of R was used for the BIO-510 class?", "gold": "4.3.1", "agent": "codex", "fs": { "agent": "codex", "success": true, "steps": 1, "inputTokens": 466478, "outputTokens": 3198, "totalTokens": 469676, "cost": 5.6937, "durationMs": 71886, "answer": "BIO-510 used **R version 4.3.1**.\n\nI found it in the BIO-510 setup/lecture notes. There are separate final-project notes mentioning `4.2.x`, but those appear to be an individual project environment, not the class setup.", "judgeReason": "covers all asked facts", "toolCalls": 11, "trajectory": [ { "step": 1, "inputTokens": 466478, "outputTokens": 3198, "text": "I\u2019ll search the local `agent_memory` first, since the workspace instructions say the answer is stored there.\nThe first search found a lot of BIO-510 material, but the output is broad. I\u2019m narrowing to exact software/version mentions now.\nI found two related R-version mentions: the class setup notes point to `4.3.1`, while one final-project debug email says a student had `4.2.3` installed. I\u2019m checking the surrounding context so I answer the class question, not the personal-project one.\nBIO-510 used **R version 4.3.1**.\n\nI found it in the BIO-510 setup/lecture notes. There are separate final-project notes mentioning `4.2.x`, but those appear to be an individual project environment, not the class setup.", "toolCalls": [ { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'rg -n \\\"BIO-510|BIO 510|R version|version of R|R used|class\\\" agent_memory'\"}", "outputPreview": "agent_memory/communications/f173_confusing_results_email.md:57:3. **Non-Specific Binding:** The secondary antibody could be binding non-specifically to abundant proteins on the membrane, especially if your blocking wasn't fully effective or if the antibody concentration was too high. However, secondary antibodies are usually fairly specific to the IgG class and species, so a specific ~150 kDa ban\u2026", "outputChars": 216936 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"rg -n -i \\\\\\\"\\\\\\\\bR\\\\\\\\s*(version|v\\\\\\\\.?|[0-9]+\\\\\\\\.[0-9]+)|RStudio|sessionInfo|session info|renv|software version\\\\\\\" agent_memory\\\"\"}", "outputPreview": "agent_memory/communications/f160_r_install_help.md:10:I'm writing because I'm hitting a bit of a roadblock with getting R and RStudio set up for my BIO-510 class. The professor mentioned we'd be using it a lot for the upcoming assignments, especially after that last lecture on statistical modeling \u2013 which, honestly, was a *lot* to take in. I spent ages trying to follow along with the examples and \u2026", "outputChars": 21780 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'rg --files agent_memory | rg -i \\\"bio.?510|biostat|stats|r(markdown|md)?|course\\\"'\"}", "outputPreview": "agent_memory/communications/f173_confusing_results_email.md\nagent_memory/communications/f156_mcb_orientation_schedule.md\nagent_memory/communications/f178_microscopy_question.md\nagent_memory/communications/f193_it_network_maintenance.md\nagent_memory/communications/f181_lab_lunch_planning.md\nagent_memory/communications/f180_bio510_project_submission.md\nagent_memory/communications/f188_conference_abs\u2026", "outputChars": 13068 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'rg -n -i \\\"BIO[- ]510|biostatistics|bio stats|biostats\\\" agent_memory/coursework* agent_memory/communications agent_memory/meetings'\"}", "outputPreview": "agent_memory/meetings/mentor_1on1/20231129_tanaka_notes.md:420:6. **Data Export & Analysis:** Export the quantitative data (nucleus count, SOX2 intensity, maybe cell area) and plan how to analyze it statistically (likely in R, as discussed with Chloe for biostats class).\nagent_memory/meetings/mentor_1on1/20230906_tanaka_notes.md:242:He also asked about my experience with data analysis. I mentione\u2026", "outputChars": 64516 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '320,360p' agent_memory/lectures/BIO-510/20230912_lecture03_notes.md\\\"\"}", "outputPreview": "# p_value <- test_result$p.value\n# print(paste(\"The p-value is:\", p_value))\n\n# To specifically access the confidence interval:\n# ci <- test_result$conf.int\n# print(paste(\"The 95% confidence interval is:\", ci[1], \"to\", ci[2]))\n\n# Let's quickly check the assumptions for t-test (normality and equal variance are needed for the latter, but t-test is robust to moderate violations, especially with n>30. \u2026", "outputChars": 1980 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '50,105p' agent_memory/communications/f160_r_install_help.md\\\"\"}", "outputPreview": "\nHere\u2019s a step-by-step guide that should make it straightforward:\n\n**1. Install R (the core programming language)**\n\n* **Download R:**\n * Go to the Comprehensive R Archive Network (CRAN) website: [https://cran.r-project.org/](https://cran.r-project.org/)\n * On the CRAN homepage, you'll see links for different operating systems. Click on the link for \"Download R for Windows\".\n * On\u2026", "outputChars": 6367 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '330,355p' agent_memory/lectures/BIO-510/20230919_lecture04_notes.md\\\"\"}", "outputPreview": "# View the ANOVA summary table\nsummary(anova_model)\n\n# R will output a table like this (simplified):\n# Df Sum Sq Mean Sq F value Pr(>F)\n# treatment 2 XX.XX YY.YY ZZ.ZZ P.VALUE\n# Residuals 27 AA.AA BB.BB\n# ---\n# Signif. codes: 0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1\n\n# The 'Pr(>F)' column is the p-value for the F-test.\n# We compare this p-value to our alpha (e.g., \u2026", "outputChars": 1872 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '80,110p' agent_memory/lectures/BIO-510/email_20231208_last_minute_code_debug.md && sed -n '525,540p' agent_memory/lectures/BIO-510/email_20231208_last_minute_code_debug.md\\\"\"}", "outputPreview": "# These look like factors to me. They have levels, which is what I expect.\n\n# Maybe the issue is with how ggplot handles factors for color and shape?\n# I tried converting them to character strings just to see:\n# merged_data$differentiation_stage <- as.character(merged_data$differentiation_stage)\n# merged_data$cell_type <- as.character(merged_data$cell_type)\n# Then I reran the plot code. SAME ERROR\u2026", "outputChars": 2982 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"find agent_memory -maxdepth 2 -type f | sed 's#\\\"'^#/#'\\\"' | head -100\\\"\"}", "outputPreview": "/agent_memory/coursework_biology/mcb501_lecture04_translation_20230918.md\n/agent_memory/coursework_biology/cm550_midterm_study_guide_20231004.md\n/agent_memory/coursework_biology/mcb501_lecture05_protein_folding_20230925.md\n/agent_memory/coursework_biology/mcb501_lecture09_apoptosis_20231030.md\n/agent_memory/coursework_biology/mcb501_midterm_study_guide_20231002.md\n/agent_memory/coursework_biology/\u2026", "outputChars": 5802 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"rg -n -i \\\\\\\"R version|r_version|R 4\\\\\\\\.|sessionInfo|RStudio|software\\\\\\\" agent_memory/lectures/BIO-510 agent_memory/communications/f160_r_install_help.md agent_memory/communications/f166_bio510_midterm_announcement.md agent_memory/communications/f179_bio510_project_reminder.md agent_memory/communications/f180_bio510_project_submission.md\\\"\"}", "outputPreview": "agent_memory/communications/f179_bio510_project_reminder.md:192:Specifically, I've seen a few instances where students submitted `.docx` or `.pdf` files for their code instead of plain text files (like `.py`, `.R`, or `.m`). While I appreciate the effort to make things look neat, this often makes it difficult or impossible for the TAs to run the code directly for verification. Please ensure your c\u2026", "outputChars": 25402 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '100,135p' agent_memory/lectures/BIO-510/final_project.md\\\"\"}", "outputPreview": "* **Predictor Variables:**\n * **Primary Interest:** The normalized expression level of a *single* gene at a time.\n * **Covariate:** The differentiation day (numeric value: 0, 2, 4, 7, 10, 14). This helps to account for the general progression of differentiation over time, allowing us to isolate the effect of a specific gene's expression *beyond* what's expected based on the time point \u2026", "outputChars": 4825 } ] } ] }, "smfs": { "agent": "codex", "success": true, "steps": 1, "inputTokens": 272441, "outputTokens": 2691, "totalTokens": 275132, "cost": 3.35, "durationMs": 104537, "answer": "The BIO-510 materials point to **R 4.3.1**.\n\nI found it in the R setup email for BIO-510, where Chloe says the installer was \u201cR 4.3.1\u201d [communications/f160_r_install_help.md](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_007/agent_memory/communications/f160_r_install_help.md:59), and the lecture notes also say \u201cI\u2019m using R version 4.3.1\u201d [lectures/BIO-510/20230919_lecture04_notes.md](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_007/agent_memory/lectures/BIO-510/20230919_lecture04_notes.md:344).", "judgeReason": "covers all asked facts", "toolCalls": 11, "trajectory": [ { "step": 1, "inputTokens": 272441, "outputTokens": 2691, "text": "I\u2019ll search the mounted memory for BIO-510 and R/version references, then open the relevant file to verify the exact version.\nThe semantic search surfaced two likely places: an R install email thread for BIO-510 and a BIO-510 lecture note that explicitly mentions an `r_version`. I\u2019m opening those narrower matches now so the answer comes from the source, not just the search snippet.\nThe BIO-510 materials point to **R 4.3.1**.\n\nI found it in the R setup email for BIO-510, where Chloe says the installer was \u201cR 4.3.1\u201d [communications/f160_r_install_help.md](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_007/agent_memory/communications/f160_r_install_help.md:59), and the lecture notes also say \u201cI\u2019m using R version 4.3.1\u201d [lectures/BIO-510/20230919_lecture04_notes.md](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_007/agent_memory/lectures/BIO-510/20230919_lecture04_notes.md:344).", "toolCalls": [ { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'rg -n \\\"BIO-510|BIO 510|BIO510|R version|version of R|RStudio|R \\\" .'\"}", "outputPreview": "./lectures/BIO-510/20231024_lecture07_notes.md:1:# BIO-510: Biostatistics for Biologists - Lecture 7 Notes\n./lectures/BIO-510/20231024_lecture07_notes.md:18:5. R Implementation: `glm()` with `family = binomial()`\n./lectures/BIO-510/20231024_lecture07_notes.md:131:**Crucial Point:** The OR is interpreted as a *multiplicative* change in the odds, not an additive change.\n./lectures/BIO-510/20231024_\u2026", "outputChars": 208915 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'smfs grep \\\"BIO-510 class R version used\\\"'\"}", "outputPreview": "# supermemory semantic search \u2014 10 results for \"BIO-510 class R version used\"\n# searches by meaning across files in this container. usage:\n# grep \"natural language query\" search all files\n# grep \"query\" path/to/dir/ search within directory\n# output: :-: (chunk text is verbatim from the file)\n\n/lectures/BIO-510/20230919_lecture04_note\u2026", "outputChars": 8978 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"rg -n \\\\\\\"version|R version|R-4|4\\\\\\\\.3|BIO-510|CRAN|Windows\\\\\\\" communications/f160_r_install_help.md\\\"\"}", "outputPreview": "4:Subject: Quick Question about R for BIO-510\n10:I'm writing because I'm hitting a bit of a roadblock with getting R and RStudio set up for my BIO-510 class. The professor mentioned we'd be using it a lot for the upcoming assignments, especially after that last lecture on statistical modeling \u2013 which, honestly, was a *lot* to take in. I spent ages trying to follow along with the examples and reali\u2026", "outputChars": 7095 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'rg -n \\\"r_version|R version|RStudio|BIO-510|version\\\" lectures/BIO-510/20230919_lecture04_notes.md'\"}", "outputPreview": "1:# BIO-510 Lecture Notes - Week 4: Two-Sample T-Tests and ANOVA\n4:**Course:** BIO-510: Statistical Methods in Biological Research\n61:Dr. Rossi mentioned that Assignment 3 ([f052](data/lectures/BIO-510/assignment_03.md)) will heavily involve interpreting these kinds of statistical results in a biological context, specifically with linear regression, which we'll cover later. It's good to keep that \u2026", "outputChars": 1849 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'smfs grep \\\"specific R version for BIO-510 assignments professor mentioned\\\" communications/f160_r_install_help.md'\"}", "outputPreview": "# supermemory semantic search \u2014 10 results for \"specific R version for BIO-510 assignments professor mentioned\"\n# searches by meaning across files in this container. usage:\n# grep \"natural language query\" search all files\n# grep \"query\" path/to/dir/ search within directory\n# output: :-: (chunk text is verbatim from the file)\n\n/commun\u2026", "outputChars": 9579 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"find . -path '*BIO-510*' -maxdepth 5 -type f | sort\\\"\"}", "outputPreview": "./lectures/BIO-510/20230905_lecture02_notes.md\n./lectures/BIO-510/20230912_lecture03_notes.md\n./lectures/BIO-510/20230919_lecture04_notes.md\n./lectures/BIO-510/20230926_lecture05_notes.md\n./lectures/BIO-510/20231017_lecture06_notes.md\n./lectures/BIO-510/20231024_lecture07_notes.md\n./lectures/BIO-510/20231031_lecture08_notes.md\n./lectures/BIO-510/20231107_lecture09_notes.md\n./lectures/BIO-510/20231\u2026", "outputChars": 963 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"rg -n \\\\\\\"sessionInfo|r_version|R version|R [0-9]+\\\\\\\\.[0-9]+\\\\\\\\.[0-9]+|R-[0-9]+\\\\\\\\.[0-9]+\\\\\\\\.[0-9]+|R4\\\\\\\\.|RStudio\\\\\\\" lectures/BIO-510 coursework_biology communications assignments data 2>/dev/null\\\"\"}", "outputPreview": "lectures/BIO-510/email_20231208_last_minute_code_debug.md:95:# Could it be a problem with the R version? I'm using R 4.2.3 \"Short Neon\".\nlectures/BIO-510/email_20231208_last_minute_code_debug.md:273:I have to submit this by 9 AM Monday. It's currently... *checks watch*... 11:18 PM on Friday. Ugh. I was hoping to finish up other parts of the write-up this weekend, like the methods section. I've got\u2026", "outputChars": 13738 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'smfs grep \\\"session info R version BIO-510 assignment reproducibility\\\"'\"}", "outputPreview": "# supermemory semantic search \u2014 10 results for \"session info R version BIO-510 assignment reproducibility\"\n# searches by meaning across files in this container. usage:\n# grep \"natural language query\" search all files\n# grep \"query\" path/to/dir/ search within directory\n# output: :-: (chunk text is verbatim from the file)\n\n/lectures/BI\u2026", "outputChars": 7364 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba communications/f160_r_install_help.md | sed -n '52,62p'\\\"\"}", "outputPreview": " 52\t\n 53\t**1. Install R (the core programming language)**\n 54\t\n 55\t* **Download R:**\n 56\t * Go to the Comprehensive R Archive Network (CRAN) website: [https://cran.r-project.org/](https://cran.r-project.org/)\n 57\t * On the CRAN homepage, you'll see links for different operating systems. Click on the link for \"Download R for Windows\".\n 58\t * On the Windows page\u2026", "outputChars": 1161 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba lectures/BIO-510/20230905_lecture02_notes.md | sed -n '318,326p'\\\"\"}", "outputPreview": " 318\t\n 319\tAlex, good points about the PMFs and visualizing them. I was thinking the same thing about `ggplot2`. I spent way too long last night trying to get a decent plot of the Poisson distribution for different lambda values, and honestly, seeing it visually really clicked for me more than just staring at the formula. Lambda being the mean and the variance for Poisson \u2013 that still feels a \u2026", "outputChars": 2963 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba lectures/BIO-510/20230919_lecture04_notes.md | sed -n '340,346p'\\\"\"}", "outputPreview": " 340\t# The 'Pr(>F)' column is the p-value for the F-test.\n 341\t# We compare this p-value to our alpha (e.g., 0.05).\n 342\t```\n 343\t\n 344\tThis is where the `course_id_bio_510` might come up in referencing course materials or assignment instructions, although I haven't seen it explicitly linked yet. The `r_version` is also a detail that might be logged in system info for reproducibility, bu\u2026", "outputChars": 586 } ] } ] } }