{"id":"W2313294370","doi":"10.2174/1875692110907030146","title":"Editorial [A Transdisciplinary Forum for Study of Individual and Population Variability in Response to Health Interventions and Personalized Medicine]","year":2009,"lang":"en","type":"article","venue":"Current pharmacogenomics and personalized medicine (Online)/Current pharmacogenomics and personalized medicine","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Psychological intervention; Personalized medicine; Medicine; Alternative medicine; Population; Environmental health; Bioinformatics; Biology; Psychiatry; Pathology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008669838,0.0009581833,0.001978545,0.0006644403,0.0006146725,0.00003510728,0.0004112895,0.0001767588,0.0004244913],"category_scores_gemma":[0.0006104055,0.0008352401,0.0001718421,0.0005824822,0.001485623,0.0003104086,0.0003397859,0.0009842353,0.000001065198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004780749,"about_ca_system_score_gemma":0.0001492975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005115442,"about_ca_topic_score_gemma":0.0001564545,"domain_scores_codex":[0.9923446,0.001321559,0.002188302,0.001948237,0.001128933,0.001068392],"domain_scores_gemma":[0.9959037,0.00129472,0.0008350599,0.0003541475,0.000115195,0.00149722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02297093,0.006044226,0.05115474,0.003257926,0.000582931,0.00002134695,0.202879,0.00007860203,0.04804838,0.0004311572,0.01506185,0.649469],"study_design_scores_gemma":[0.2116377,0.02145447,0.282587,0.00761365,0.00532427,0.0002389735,0.07968248,0.01785839,0.00007177795,0.004361185,0.3651007,0.00406938],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446084,0.02837429,0.00110095,0.01437629,0.00545455,0.004833622,0.001193489,0.00004248751,0.0000159292],"genre_scores_gemma":[0.9530505,0.03636443,0.0005329857,0.002238399,0.006398377,0.000223419,0.001058536,0.00009512861,0.00003821399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6453996,"threshold_uncertainty_score":0.9994099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07781703209787726,"score_gpt":0.4242418102400519,"score_spread":0.3464247781421746,"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."}}