{"id":"W2965625917","doi":"10.1016/j.euroneuro.2018.08.122","title":"F42POST-GWAS IN SILICO BIOLOGICAL CHARACTERIZATION OF VARIANTS ASSOCIATED WITH VENLAFAXINE TREATMENT REMISSION IN LATE-LIFE DEPRESSION","year":2019,"lang":"en","type":"article","venue":"European Neuropsychopharmacology","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Confidence interval; Medicine; Odds ratio; Logistic regression; Depression (economics); Population; Internal medicine; Retrospective cohort study; Pediatrics; Emergency medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009833341,0.0009208425,0.001056709,0.0008047229,0.0007646268,0.001190047,0.0006377793,0.00142559,0.008765738],"category_scores_gemma":[0.003279518,0.0003556703,0.002650744,0.001127526,0.0003041032,0.0002950463,0.0004106279,0.001107933,0.000746018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002472157,"about_ca_system_score_gemma":0.0004743874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005351463,"about_ca_topic_score_gemma":0.008602447,"domain_scores_codex":[0.9988661,0.0002525272,0.0001144047,0.0004943625,0.0001171821,0.0001554253],"domain_scores_gemma":[0.9986601,0.000847563,0.0002106694,0.0001012473,0.00007258134,0.0001077529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01370521,0.0002959674,0.8648117,0.0009541698,0.01741452,0.008834416,0.0005142865,0.004261288,0.04190861,0.001569515,0.008640807,0.03708963],"study_design_scores_gemma":[0.001864145,0.0009932071,0.938374,0.0003680929,0.01537852,0.009380174,0.0003499548,0.009476151,0.005519725,0.002184719,0.01597735,0.0001338581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980139,0.00294195,0.004850824,0.0006274687,0.000312737,0.00004970168,0.008581405,0.0002059659,0.002290958],"genre_scores_gemma":[0.9936345,0.0002436565,0.001426428,0.0002886523,0.00006936844,0.00002504101,0.003345005,0.00006359805,0.0009038058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008765738,"threshold_uncertainty_score":0.02932429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716559710361401,"score_gpt":0.2826575718743974,"score_spread":0.2654919747707834,"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."}}