{"id":"W2759527221","doi":"10.1017/s0033291717002665","title":"Genetic risk scores and family history as predictors of schizophrenia in Nordic registers","year":2017,"lang":"en","type":"article","venue":"Psychological Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"National Institute of Mental Health; Norges Forskningsråd; Vetenskapsrådet; Lundbeckfonden; Pfizer","keywords":"Schizophrenia (object-oriented programming); Family history; Psychology; Psychiatry; Clinical psychology; Medicine; Internal 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004655622,0.0001318812,0.000302713,0.00005643355,0.00006847004,0.000002831037,0.0002730902,0.0002148169,0.00003522709],"category_scores_gemma":[0.00197579,0.00009803337,0.00004279398,0.00002556092,0.0008080564,0.000002059484,0.00009457634,0.0001430189,0.000003935628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001866109,"about_ca_system_score_gemma":0.00001256709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004013907,"about_ca_topic_score_gemma":0.00007607172,"domain_scores_codex":[0.998814,0.0001425768,0.0003540115,0.0003875923,0.00009972815,0.0002020969],"domain_scores_gemma":[0.9989024,0.00004945105,0.0003519598,0.0005578026,0.00003934966,0.00009897527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000218165,0.00006859852,0.9439209,0.00001026423,0.00003592907,0.000008088589,0.00007426015,0.000007177397,0.02869723,0.00004655118,0.007876653,0.01903621],"study_design_scores_gemma":[0.001486193,0.001022616,0.9932373,0.00002917138,0.00002479639,0.00001124889,0.00004132456,0.00001766043,0.00003959759,0.0007205742,0.00327491,0.00009462061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989786,0.004621947,0.0001420333,0.0006277452,0.0004016875,0.0001354113,0.000005043438,0.000005521445,0.00427461],"genre_scores_gemma":[0.9944752,0.003637062,0.0009005602,0.000448963,0.0002620698,0.00001599694,0.000009104068,0.00000876243,0.0002422452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04931641,"threshold_uncertainty_score":0.3997685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03076411725514485,"score_gpt":0.3124468106727212,"score_spread":0.2816826934175763,"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."}}