{"id":"W2996859402","doi":"10.1007/s00787-019-01461-y","title":"Predicting the individual risk of psychosis conversion in at-risk mental state (ARMS): a multivariate model reveals the influence of nonpsychotic prodromal symptoms","year":2019,"lang":"en","type":"article","venue":"European Child & Adolescent Psychiatry","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Brain Institute","funders":"Fondation Pierre Deniker pour la Recherche et la Prévention en Santé Mentale; Agence Nationale de la Recherche","keywords":"Psychology; Multivariate statistics; Logistic regression; Prodrome; Clinical psychology; Psychiatry; Psychosis; Statistics","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":[0.001485368,0.0003353872,0.0004263362,0.0001791336,0.0002034012,0.0000209513,0.0005512844,0.00005221429,0.0000267903],"category_scores_gemma":[0.00008517592,0.0001942947,0.0002532371,0.0004128937,0.0002126022,0.0001106552,0.0002813044,0.0009328353,0.000089853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009496308,"about_ca_system_score_gemma":0.0001271556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001313192,"about_ca_topic_score_gemma":0.00009064562,"domain_scores_codex":[0.9963992,0.000832041,0.0008190521,0.0005708796,0.0008806412,0.0004982043],"domain_scores_gemma":[0.9979155,0.00009990777,0.0007096869,0.001005649,0.00008814155,0.0001810987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006067496,0.001158253,0.9850411,0.0002574599,0.0003985723,0.000004823048,0.002614443,0.003051977,0.0003101941,0.00002765159,0.0003834706,0.0006844969],"study_design_scores_gemma":[0.009634032,0.000601335,0.9830699,0.001938809,0.0002586939,0.00002792324,0.000320032,0.003683073,0.0001850278,0.00008980275,0.00002586968,0.0001654976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941096,0.0006992657,0.00001251152,0.001784595,0.0003275258,0.002374909,0.0003183992,0.00003888333,0.0003343435],"genre_scores_gemma":[0.9978511,0.0006120898,0.0009166339,0.0003385351,0.00009847007,0.0000149297,0.00003398844,0.0000619,0.00007237973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003741506,"threshold_uncertainty_score":0.7923106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018095611500522,"score_gpt":0.2499327984072467,"score_spread":0.2397518422922415,"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."}}