{"id":"W2015039338","doi":"10.1038/sj.tpj.6500061","title":"Multigenic traits and risk assessment in pharmacology: a population approach","year":2001,"lang":"en","type":"letter","venue":"The Pharmacogenomics Journal","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Population; Medicine; Biology; Pharmacology; Genetics; Computational biology; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001419216,0.0003175758,0.0003437077,0.00006723601,0.0004989199,0.0002479856,0.0007646025,0.0003682947,0.0006327472],"category_scores_gemma":[0.00001860822,0.0001178851,0.0001394719,0.0002736419,0.0001138209,0.00008248637,0.0002055646,0.00512306,0.00001604249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002289113,"about_ca_system_score_gemma":0.00005469301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003265894,"about_ca_topic_score_gemma":0.00006453012,"domain_scores_codex":[0.9968621,0.001059942,0.0004959177,0.0004138322,0.0004634531,0.00070472],"domain_scores_gemma":[0.9990638,0.0003445639,0.0003103354,0.00004586103,0.00007863295,0.0001567351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001706669,0.0003399522,0.01007495,0.00004357918,0.0005595196,0.0005649618,0.0003286538,0.0009143978,0.4351819,0.000007990136,0.2424318,0.3093816],"study_design_scores_gemma":[0.00290243,0.0003778347,0.3796061,0.00003465805,0.000715445,0.002968165,0.0002063419,0.01647878,0.0007955773,0.00207925,0.5925018,0.001333607],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8201922,0.0007872487,0.00004328974,0.1777909,0.0002185162,0.0006283224,0.00009012456,0.000018999,0.0002304544],"genre_scores_gemma":[0.8452869,0.0233997,0.001259471,0.1144834,0.01457687,0.0000812758,0.000231722,0.00002067899,0.000659912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4343863,"threshold_uncertainty_score":0.9971722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0408581222374861,"score_gpt":0.2978162552881971,"score_spread":0.256958133050711,"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."}}