{"id":"W2794831228","doi":"10.1093/schbul/sby016.364","title":"T88. CLUSTER ANALYSIS IDENTIFIES TWO NEUROCOGNITIVE PROFILES AMONG OFFSPRING AT GENETIC RISK OF A MAJOR MENTAL DISORDER","year":2018,"lang":"en","type":"article","venue":"Schizophrenia Bulletin","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université Laval","funders":"","keywords":"Neurocognitive; Offspring; Schizophrenia (object-oriented programming); Psychosis; Psychology; Bipolar disorder; Cognition; Effects of sleep deprivation on cognitive performance; Endophenotype; Psychiatry; Clinical psychology; Pregnancy; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006949712,0.000383864,0.0004507143,0.0002138298,0.0005631472,0.00005231854,0.0004040017,0.00009924684,0.01437692],"category_scores_gemma":[0.0002039505,0.0003724547,0.000263437,0.0006613976,0.00108933,0.000141922,0.001006946,0.0003108322,0.00371544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002569654,"about_ca_system_score_gemma":0.00001354862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003266208,"about_ca_topic_score_gemma":0.005588368,"domain_scores_codex":[0.9962651,0.0005388745,0.0006790591,0.001117181,0.0007264893,0.0006733589],"domain_scores_gemma":[0.9984209,0.0001871015,0.0004998943,0.0006256023,0.00002910793,0.0002373776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004018566,0.0001678749,0.9805464,0.0000229967,0.0003797269,0.00001355603,0.001377203,0.000428564,0.008010074,0.000002977941,0.001030613,0.007618195],"study_design_scores_gemma":[0.001804833,0.0001246895,0.9773148,0.00003883994,0.0006718434,0.000005689682,0.0002547349,0.002074103,0.01470087,0.000110071,0.002462017,0.0004374555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948494,0.00007464553,0.001339176,0.0004924308,0.000133231,0.0009289286,0.0001112169,0.00006020035,0.002010781],"genre_scores_gemma":[0.9942815,0.00007962226,0.003719438,0.00029963,0.0001171292,0.0001141835,0.00003061374,0.00005800722,0.001299901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01066148,"threshold_uncertainty_score":0.9998727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005407916521460955,"score_gpt":0.2266147781280677,"score_spread":0.2212068616066068,"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."}}