{"id":"W2887063926","doi":"10.1017/s0033291718001824","title":"Neurocognition and adaptive functioning in a genetic high risk model of schizophrenia","year":2018,"lang":"en","type":"article","venue":"Psychological Medicine","topic":"Congenital heart defects research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome Canada; Hospital for Sick Children; University Health Network; University of Toronto; Toronto General Hospital; Centre for Addiction and Mental Health","funders":"","keywords":"Neurocognitive; Schizophrenia (object-oriented programming); Psychology; Clinical psychology; Psychosis; Executive functions; Adaptive behavior; Neuropsychology; Cognition; Psychiatry","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":[0.0001729496,0.00008478477,0.000131013,0.00006647437,0.00003548586,0.000002482942,0.00006341725,0.00009591428,0.00007071171],"category_scores_gemma":[0.0003264241,0.00006398943,0.00001790177,0.0001220459,0.0003934078,0.000001984965,0.00006038279,0.0001347582,0.000007772254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000390266,"about_ca_system_score_gemma":0.000005190494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004371395,"about_ca_topic_score_gemma":0.00004047018,"domain_scores_codex":[0.9991674,0.00009048258,0.0001672058,0.0003020283,0.000118889,0.0001540108],"domain_scores_gemma":[0.999608,0.00003274622,0.00004157418,0.0001557127,0.00009098557,0.0000710058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003460362,0.0002340948,0.01101625,0.00002546851,0.00003654459,0.00001318676,0.0001294426,0.00007446408,0.7255233,0.0001460791,0.0005604729,0.2587803],"study_design_scores_gemma":[0.006212472,0.01647374,0.9409883,0.000107811,0.00004806829,0.00007410813,0.00009995084,0.01563362,0.01132037,0.008600261,0.0001509814,0.0002903411],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934937,0.0004214559,0.004550959,0.00009875858,0.00007446738,0.0001667972,0.000006148048,0.000006141101,0.001181522],"genre_scores_gemma":[0.9976534,0.0002452075,0.001588476,0.0001429752,0.0002793288,0.0000176529,0.000007075111,0.000007527348,0.00005834323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.929972,"threshold_uncertainty_score":0.2609413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03790246759622746,"score_gpt":0.3250944191852297,"score_spread":0.2871919515890023,"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."}}