{"id":"W4296844466","doi":"10.1016/j.euroneuro.2022.07.422","title":"T126. ADVANCING PHARMACOGENOMICS OF ANTICONVULSANT MOOD STABILIZER RESPONSE IN BIPOLAR DISORDER THROUGH THE MOOD STABILIZER GENOMICS (MOSTGEN) CONSORTIUM","year":2022,"lang":"en","type":"article","venue":"European Neuropsychopharmacology","topic":"Neurogenetic and Muscular Disorders Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Mood stabilizer; Pharmacogenomics; Mood; Stabilizer (aeronautics); Bipolar disorder; Anticonvulsant; Medicine; Pharmacology; Psychiatry; Epilepsy; Engineering","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002192162,0.0004687778,0.0007102048,0.0003469002,0.0003420786,0.00002254435,0.0008827897,0.0000526758,0.001464437],"category_scores_gemma":[0.0003213353,0.0004127344,0.0003222413,0.001047396,0.0006442487,0.0001001648,0.0009193965,0.001515175,0.00005419318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001815749,"about_ca_system_score_gemma":0.0004041646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003799709,"about_ca_topic_score_gemma":0.00001109321,"domain_scores_codex":[0.9904796,0.00562844,0.001167334,0.0009995413,0.000664875,0.001060164],"domain_scores_gemma":[0.9975161,0.000714936,0.0003489408,0.001000415,0.0001697652,0.0002498628],"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":[0.01326903,0.00168546,0.01089457,0.000105035,0.0001933111,0.0006836802,0.002809352,0.003802828,0.9623569,0.00003300023,0.0007677898,0.003399038],"study_design_scores_gemma":[0.02733327,0.004518297,0.1120523,0.00002620542,0.0005358303,0.001093726,0.003476423,0.00228106,0.01809654,0.00008054924,0.8295937,0.0009121165],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985902,0.00546829,0.0001154742,0.003354386,0.001038803,0.002320467,0.00009881996,0.0001129112,0.001588882],"genre_scores_gemma":[0.9916241,0.003123601,0.000221307,0.004107905,0.0001215286,0.000117521,0.00002008372,0.0003184513,0.0003455505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9442604,"threshold_uncertainty_score":0.9998325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01999468684988022,"score_gpt":0.3196504100592787,"score_spread":0.2996557232093985,"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."}}