{ "slug": "dp_007-q03-codex", "dp": "dp_007", "files": 200, "qid": "q03", "family": "single_hop", "prompt": "What is the PubMed ID associated with the Nature Methods paper by Dr. Fatima Al-Sayed that Chloe recommended?", "gold": "36989870", "agent": "codex", "fs": { "agent": "codex", "success": true, "steps": 1, "inputTokens": 400259, "outputTokens": 2877, "totalTokens": 403136, "cost": 4.8894, "durationMs": 50997, "answer": "The PubMed ID is **36989870**.\n\nI found it in Chloe\u2019s recommendation thread: [f172_paper_recommendation_scRNA.md](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_007/agent_memory/communications/f172_paper_recommendation_scRNA.md:111). The same thread later identifies the paper as published in *Nature Methods*: [line 306](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_007/agent_memory/communications/f172_paper_recommendation_scRNA.md:306).", "judgeReason": "covers all asked facts", "toolCalls": 11, "trajectory": [ { "step": 1, "inputTokens": 400259, "outputTokens": 2877, "text": "I\u2019ll search the local `agent_memory` first, since the project instructions say the answer is there. I\u2019m looking for Chloe\u2019s recommendation and the Nature Methods paper by Dr. Fatima Al-Sayed, then I\u2019ll verify the PubMed ID from the source text.\nI found a likely hit in `agent_memory/communications/f192_alsayed_paper_followup.md`. I\u2019m opening that file now and checking nearby context rather than relying on the broad search output.\nThere are multiple Al-Sayed references, so I\u2019m separating them by context. The file with Chloe\u2019s actual recommendation includes a PMID, while another lecture note has a separate PMID for a \u201cfoundational\u201d paper; I\u2019m checking the recommendation thread to avoid mixing them up.\nThe PubMed ID is **36989870**.\n\nI found it in Chloe\u2019s recommendation thread: [f172_paper_recommendation_scRNA.md](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_007/agent_memory/communications/f172_paper_recommendation_scRNA.md:111). The same thread later identifies the paper as published in *Nature Methods*: [line 306](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_007/agent_memory/communications/f172_paper_recommendation_scRNA.md:306).", "toolCalls": [ { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'rg --files agent_memory'\"}", "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 \\\"Fatima|Al-Sayed|Chloe|Nature Methods|PubMed|PMID\\\" agent_memory'\"}", "outputPreview": "agent_memory/communications/f173_confusing_results_email.md:402:I also received an email from Chloe Davis in the biostats group, she recommended I look into some specific R packages for analyzing band intensity that might be able to deconvolute overlapping signals, but I haven\u2019t had a chance to look at that yet. It sounds complicated though. I just want to do a simple Western blot!\nagent_memory/co\u2026", "outputChars": 229419 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '1,260p' agent_memory/communications/f192_alsayed_paper_followup.md\\\"\"}", "outputPreview": "From: lena.hansen@northwood.edu\nTo: chloe.davis@northwood.edu\nDate: Wed, 8 Nov 2023 10:15:37 -0500\nSubject: Re: Al-Sayed Paper Recommendation\n\nHi Chloe,\n\nHope you're having a good week!\n\nI finally got around to reading the Al-Sayed paper you recommended a couple of weeks ago (the one about the novel computational method for scRNA-seq). Thanks so much for sending it over \u2013 it was really fascinating\u2026", "outputChars": 26319 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'rg -n \\\"Al-Sayed|Fatima|Nature Methods|PMID|PubMed|Chloe|recommended|recommend\\\" agent_memory/communications/f192_alsayed_paper_followup.md'\"}", "outputPreview": "4:Subject: Re: Al-Sayed Paper Recommendation\n6:Hi Chloe,\n10:I finally got around to reading the Al-Sayed paper you recommended a couple of weeks ago (the one about the novel computational method for scRNA-seq). Thanks so much for sending it over \u2013 it was really fascinating and definitely gave me a lot to think about for potential directions for my own project down the line. Dr. Reed mentioned that\u2026", "outputChars": 5776 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '260,380p' agent_memory/communications/f192_alsayed_paper_followup.md\\\"\"}", "outputPreview": "\nThanks again for being so generous with your time and expertise, Chloe. I feel much more equipped to tackle these computational aspects now. It's really encouraging.\n\nBest,\n\nLena\n\n---\nLena Hansen\n1st Year PhD Student\nDepartment of Molecular and Cellular Biology\nNorthwood University\nMaple Creek, NH 03431\nPhone: (603) 555-1234\nEmail: lena.hansen@northwood.edu\n\nConfidentiality Notice: This email mes\u2026", "outputChars": 3154 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'rg -n \\\"Al-Sayed|Al Sayed|Fatima|sc_bayes|bayes_shrinkage|Bayesian hierarchical|empirical Bayes shrinkage|Tweedie\\\" agent_memory'\"}", "outputPreview": "agent_memory/communications/f185_mcb_seminar_series.md:27:| November 2, 2023 | Dr. Fatima Khan | University of Oxford | \"Interplay Between Innate Immunity and the Microbiome in Inflammatory Bowel Disease\" |\nagent_memory/communications/f185_mcb_seminar_series.md:526:Subject: Reminder: MCB Seminar THIS Thursday - Dr. Fatima Khan (Un\u2026", "outputChars": 24383 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '1,80p' agent_memory/lab/meetings/20231031_lab_meeting_notes.md\\\"\"}", "outputPreview": "# Lab Meeting Notes - October 31st, 2023\n\n**Date:** 2023-10-31\n**Time:** 10:00 AM - 11:30 AM\n**Location:** MCB Department Conference Room 3B\n**Attendees:** Chloe Davis (presenting), Lena Hansen, David Chen, Kenji Tanaka, Samira Jafari, Evelyn Reed (joined virtually for the last 30 mins), Maria Rodriguez, James Williams, Anika Patel\n\n## Table of Contents\n\n1. Introduction and Welcome (Lena Hansen)\n\u2026", "outputChars": 9647 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '1,140p' agent_memory/communications/f172_paper_recommendation_scRNA.md\\\"\"}", "outputPreview": "From: chloe.davis@northwood.edu\nTo: lena.hansen@northwood.edu\nDate: Thu, 26 Oct 2023 10:15:37 -0400\nSubject: Paper recommendation - single-cell analysis method\n\nHi Lena,\n\nHope you're having a good week!\n\nFollowing up on our quick chat after the lab meeting yesterday \u2013 I remembered a paper that came out a few months ago that I think might be really relevant to some of the ideas you were tossing aro\u2026", "outputChars": 7955 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'rg -n \\\"Nature Methods|PMID|PubMed|Fatima Al-Sayed|Al-Sayed.*Nature|Chloe.*recommended|recommended.*Chloe\\\" agent_memory/communications/f172_paper_recommendation_scRNA.md agent_memory/lab/meetings/20231031_lab_meeting_notes.md agent_memory/lectures/BIO-510/20231107_lecture09_notes.md'\"}", "outputPreview": "agent_memory/communications/f172_paper_recommendation_scRNA.md:12:It's by Dr. Fatima Al-Sayed and her group, and it details a pretty novel computational method. I haven't had a chance to dive *super* deep into the code implementation yet, but the general approach they're using seems promising for addressing the kind of noise and batch effects we often see, especially when you're dealing with small\u2026", "outputChars": 2560 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba agent_memory/communications/f172_paper_recommendation_scRNA.md | sed -n '300,310p'\\\"\"}", "outputPreview": " 300\t---------- Forwarded message ----------\n 301\tFrom: chloe.davis@northwood.edu\n 302\tDate: Fri, 27 Oct 2023 10:17:30 -0400\n 303\tSubject: Re: Paper recommendation - single-cell analysis method\n 304\tTo: lena.hansen@northwood.edu\n 305\t\n 306\tAnd I should probably also mention that the paper itself is published in Nature Methods, which is a pretty high-impact journal. Sometimes I forget\u2026", "outputChars": 836 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba agent_memory/communications/f172_paper_recommendation_scRNA.md | sed -n '100,116p'\\\"\"}", "outputPreview": " 100\t***\n 101\t\n 102\tFrom: chloe.davis@northwood.edu\n 103\tTo: lena.hansen@northwood.edu\n 104\tDate: Thu, 26 Oct 2023 11:05:55 -0400\n 105\tSubject: Re: Paper recommendation - single-cell analysis method\n 106\t\n 107\tHi Lena,\n 108\t\n 109\tGlad it came through! And yeah, I totally get that feeling of being overwhelmed by the sheer volume of scRNA-seq analysis tools. It's a rapidly evolvi\u2026", "outputChars": 2006 } ] } ] }, "smfs": { "agent": "codex", "success": true, "steps": 1, "inputTokens": 135182, "outputTokens": 1499, "totalTokens": 136681, "cost": 1.6672, "durationMs": 53198, "answer": "The PubMed ID Chloe gave for Dr. Fatima Al-Sayed\u2019s Nature Methods paper is **PMID: 36989870**.\n\nSource: [communications/f172_paper_recommendation_scRNA.md](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_007/agent_memory/communications/f172_paper_recommendation_scRNA.md:111).", "judgeReason": "covers all asked facts", "toolCalls": 5, "trajectory": [ { "step": 1, "inputTokens": 135182, "outputTokens": 1499, "text": "I\u2019ll search the mounted agent memory for Chloe\u2019s recommendation and the Nature Methods paper, then read the relevant source lines to confirm the PubMed ID.\nThe first semantic hit points to Chloe\u2019s email thread and gives a PMID, but I\u2019m checking the surrounding lines and follow-up email so I don\u2019t mix it up with a different Al-Sayed paper mentioned elsewhere.\nThe PubMed ID Chloe gave for Dr. Fatima Al-Sayed\u2019s Nature Methods paper is **PMID: 36989870**.\n\nSource: [communications/f172_paper_recommendation_scRNA.md](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_007/agent_memory/communications/f172_paper_recommendation_scRNA.md:111).", "toolCalls": [ { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'pwd && rg --files'\"}", "outputPreview": "/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_007/agent_memory\nprofile.md\nmeetings/mentor_1on1/20231129_tanaka_notes.md\nmeetings/mentor_1on1/20231115_tanaka_notes.md\nmeetings/mentor_1on1/20231101_tanaka_notes.md\nmeetings/mentor_1on1/20231018_tanaka_notes.md\nmeetings/mentor_1on1/20231004_tanaka_notes.md\nmeetings/mentor_1on1/20230920_tanaka_notes.md\nmeeti\u2026", "outputChars": 10587 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'smfs grep \\\"Chloe recommended Nature Methods paper Dr. Fatima Al-Sayed PubMed ID\\\"'\"}", "outputPreview": "# supermemory semantic search \u2014 10 results for \"Chloe recommended Nature Methods paper Dr. Fatima Al-Sayed PubMed ID\"\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/\u2026", "outputChars": 10929 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba communications/f172_paper_recommendation_scRNA.md | sed -n '1,130p'\\\"\"}", "outputPreview": " 1\tFrom: chloe.davis@northwood.edu\n 2\tTo: lena.hansen@northwood.edu\n 3\tDate: Thu, 26 Oct 2023 10:15:37 -0400\n 4\tSubject: Paper recommendation - single-cell analysis method\n 5\t\n 6\tHi Lena,\n 7\t\n 8\tHope you're having a good week!\n 9\t\n 10\tFollowing up on our quick chat after the lab meeting yesterday \u2013 I remembered a paper that came out a few months ago that I th\u2026", "outputChars": 8315 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba communications/f172_paper_recommendation_scRNA.md | sed -n '260,325p'\\\"\"}", "outputPreview": " 260\t\n 261\tSounds great! Tuesday at 2:00 PM at The Daily Grind works perfectly for me. I'll be there. Looking forward to it!\n 262\t\n 263\tAnd yes, please feel free to ping me anytime. Email is fine, but Slack is usually even quicker for those kinds of install issues or quick questions. My handle is @ChloeDavis (just Chloe Davis, no numbers or anything). Sometimes I get Slack notifications pu\u2026", "outputChars": 4579 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"rg -n \\\\\\\"PMID|PubMed|Al-Sayed|Nature Methods|10\\\\\\\\.1038/s41592-023-01870-4|36989870|33864132\\\\\\\" communications lab lectures coursework_biology profile.md\\\"\"}", "outputPreview": "coursework_biology/email_mcb501_apc_question_20231018.md:179:The MCC can also inhibit other downstream targets indirectly by preventing the activation of APC/Cdc20. The precise details of MCC formation and its interaction with the APC/C and Cdc20 are quite intricate and still areas of active research, with variations across species. The review by Petersen et al. likely touches upon some of these a\u2026", "outputChars": 23973 } ] } ] } }