{"id":"W3027817788","doi":"10.1101/2020.05.19.20098566","title":"Exemplar Scoring Identifies Genetically Separable Phenotypes of Lithium Responsive Bipolar Disorder","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Bipolar Disorder and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University; Dalhousie University; University of Toronto; Montreal Neurological Institute and Hospital; Nova Scotia Health Authority","funders":"Killam Trusts; Bundesministerium für Bildung und Forschung; Dalhousie University; Nova Scotia Health Research Foundation; Canadian Institutes of Health Research; Genome Canada; Dalhousie Medical Research Foundation","keywords":"Phenotype; Bipolar disorder; Receiver operating characteristic; Schizophrenia (object-oriented programming); Genetic heterogeneity; Medicine; Psychology; Genetics; Biology; Lithium (medication); Psychiatry; Internal medicine; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001649838,0.0004126771,0.0005157597,0.001077974,0.0003462733,0.0007480254,0.0003084442,0.0004468905,0.000809337],"category_scores_gemma":[0.005373845,0.000114132,0.0004544131,0.0005899775,0.0004103195,0.0002919746,0.0007978445,0.0006054369,0.0002086247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002391858,"about_ca_system_score_gemma":0.0001633538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001791206,"about_ca_topic_score_gemma":0.002679391,"domain_scores_codex":[0.9992201,0.0003723454,0.00007469821,0.0001596036,0.0001037813,0.00006952527],"domain_scores_gemma":[0.9965838,0.001282282,0.001221871,0.0003975757,0.0002661833,0.0002481872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005922478,0.00007883447,0.9779032,0.00002190603,0.000226361,0.0001086231,0.0001720111,0.003043551,0.003323527,0.0001343618,0.0003975819,0.01399767],"study_design_scores_gemma":[0.00002179847,0.000318078,0.9688815,0.00001341397,0.00005833155,0.0005578276,0.0002529519,0.02804874,0.0008638634,0.0007122406,0.0002463076,0.00002489133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985484,0.00004454716,0.0010431,0.00002883057,0.000002613372,0.000007876017,0.0001436946,0.00001671766,0.0001641322],"genre_scores_gemma":[0.9982279,0.0000183954,0.001218586,0.00001336787,0.000004168547,0.000006253773,0.0004611956,0.000004424523,0.00004566028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001791206,"threshold_uncertainty_score":0.008725286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02688558137794753,"score_gpt":0.290105608710893,"score_spread":0.2632200273329455,"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."}}