{"id":"W2511376069","doi":"10.18433/j36k7b","title":"Conference 2016: From Drug Discovery to Health Outcomes: Population to Patient. An international symposium held jointly by CSPS and CC-CRS, May 31-June 3, 2016, Vancouver, BC, Canada","year":2016,"lang":"en","type":"article","venue":"Journal of Pharmacy & Pharmaceutical Sciences","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; Medicine; Pharmaceutical industry; Drug development; Special populations; Library science; Pharmacology; Drug; Psychology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01514921,0.001854037,0.001103562,0.001500883,0.00237473,0.006643142,0.002088952,0.003510639,0.06771009],"category_scores_gemma":[0.01668643,0.0005279258,0.0008833308,0.002049114,0.001784868,0.002673526,0.005929675,0.00610104,0.01215734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01545198,"about_ca_system_score_gemma":0.04635052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1306212,"about_ca_topic_score_gemma":0.3013418,"domain_scores_codex":[0.9961026,0.0008692979,0.0002002583,0.0004752419,0.001561361,0.0007913432],"domain_scores_gemma":[0.9824181,0.001258925,0.0003814112,0.0002752795,0.005516442,0.0101498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005272018,0.00002164137,0.0005649573,0.000113375,0.00001108551,0.00003567263,0.0001100431,0.00008585327,0.00006080672,0.0006735745,0.9506845,0.04758577],"study_design_scores_gemma":[0.00004261597,0.00004448729,0.005156219,0.000904341,0.00002056594,0.00007647756,0.0009177163,0.0001943121,0.0001810124,0.002610215,0.9898255,0.00002653563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002674536,0.06966897,0.003744729,0.7423523,0.08719479,0.0004785648,0.006730348,0.0004450241,0.08671071],"genre_scores_gemma":[0.05606615,0.1972128,0.009100417,0.07523857,0.07121994,0.001061501,0.01744274,0.0007610033,0.5718969],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8693789,"threshold_uncertainty_score":0.2597217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03198746910516042,"score_gpt":0.3681235318884666,"score_spread":0.3361360627833062,"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."}}