{"id":"W2795036204","doi":"10.1093/schbul/sby017.562","title":"F31. POLYGENIC RISK SCORES AND EARLY RISK ENDOPHENOTYPES IN CHILDREN AT GENETIC RISK OF SCHIZOPHRENIA AND BIPOLAR DISORDER: IMPLICATIONS FOR THE DEFINITION OF THE CHILDHOOD RISK STATUS","year":2018,"lang":"en","type":"article","venue":"Schizophrenia Bulletin","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Université Laval; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean","funders":"","keywords":"Endophenotype; Bipolar disorder; Schizophrenia (object-oriented programming); Psychology; Mood; Clinical psychology; Psychiatry; Population; Family aggregation; Medicine; Cognition","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00104542,0.0004803565,0.0002200274,0.0009814028,0.0005600308,0.0003929122,0.0005298381,0.0007821341,0.003152143],"category_scores_gemma":[0.003915073,0.0001308295,0.000294459,0.0007808912,0.0008004882,0.0004261024,0.0006694114,0.0005022907,0.0002418744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000349671,"about_ca_system_score_gemma":0.0006809472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0082976,"about_ca_topic_score_gemma":0.005757028,"domain_scores_codex":[0.9994178,0.0002573529,0.0000307649,0.0001229415,0.00008094641,0.00009027229],"domain_scores_gemma":[0.9980556,0.000839496,0.000621776,0.00007609028,0.000103776,0.0003033038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004257104,0.0001359853,0.9898098,0.0000197001,0.00003684538,0.000454927,0.0002260094,0.0001374309,0.0007031004,0.0003783388,0.0002838321,0.00738848],"study_design_scores_gemma":[0.00001847644,0.0001733509,0.9977496,0.000009876024,0.00001667658,0.0007526651,0.0001087832,0.0004182125,0.0001623537,0.0003674958,0.0002161621,0.000006221997],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978485,0.000175776,0.0003517298,0.0003602134,0.00001039614,0.00002382841,0.0005415491,0.000005015082,0.0006830038],"genre_scores_gemma":[0.9977114,0.0001368935,0.001165956,0.00007635795,0.00006053953,0.00005940676,0.0003786928,0.000005577314,0.0004052026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0082976,"threshold_uncertainty_score":0.01649857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005101526008882438,"score_gpt":0.2095494214723382,"score_spread":0.2044478954634557,"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."}}