{"id":"W658553982","doi":"10.71781/1347","title":"Pharmacogenomics research involving race : an analysis of interests and values","year":2007,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pharmacogenomics; Race (biology); Medicine; Psychology; Data science; Sociology; Computer science; Pharmacology; Gender studies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008821213,0.0002216789,0.000328525,0.0008277917,0.001394767,0.0000410654,0.000428036,0.0004694904,0.00001539924],"category_scores_gemma":[0.0001694838,0.0002353366,0.0001938724,0.0004324386,0.0004520194,0.00001741456,0.0002693229,0.0003498014,0.000003160391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005489842,"about_ca_system_score_gemma":0.0009010364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00422701,"about_ca_topic_score_gemma":0.008958261,"domain_scores_codex":[0.9979119,0.0001466977,0.0003882337,0.0004406656,0.0007207876,0.0003916787],"domain_scores_gemma":[0.9983657,0.00006377055,0.000210384,0.0003675145,0.0006359984,0.0003566429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002363117,0.0003445197,0.01734873,0.0004930638,0.002901916,0.0002175736,0.02064382,0.0004513353,0.9322212,0.0006033365,0.0008051246,0.02160625],"study_design_scores_gemma":[0.001945213,0.001310641,0.1421567,0.0002875835,0.002166717,0.0001234137,0.1117463,0.0131665,0.6862655,0.000240887,0.03938966,0.001200878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982417,0.01217642,0.0001164397,0.00002612733,0.0002170167,0.0002027056,0.00006597048,0.000009974626,0.004768302],"genre_scores_gemma":[0.9775821,0.006150838,0.0006667908,0.00003135008,0.0001538997,0.000005650923,0.001918518,0.00002030476,0.01347055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2459557,"threshold_uncertainty_score":0.9999053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752536866121935,"score_gpt":0.2891320680987323,"score_spread":0.271606699437513,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}