{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004667514,0.00155181,0.0008542218,0.0009854335,0.0007267327,0.002168227,0.001368027,0.001440339,0.004970514],"category_scores_gemma":[0.007490348,0.0007031568,0.002349726,0.000669808,0.0005673962,0.000933132,0.001277581,0.002775134,0.0005999517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004478771,"about_ca_system_score_gemma":0.001574478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01838123,"about_ca_topic_score_gemma":0.01314903,"domain_scores_codex":[0.9985512,0.0008222772,0.00006342166,0.0002575844,0.00008701919,0.000218445],"domain_scores_gemma":[0.9932646,0.004332885,0.0005920219,0.0005351439,0.0003253687,0.0009500006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00325229,0.0007063851,0.9705607,0.00002158722,0.001217144,0.0002382253,0.0001614319,0.0155698,0.0004604626,0.0004535129,0.0005958283,0.006762681],"study_design_scores_gemma":[0.0001661669,0.001198586,0.5688184,0.00004745979,0.001331326,0.0004864821,0.0004026974,0.4245903,0.0003577023,0.002026353,0.0004867266,0.00008780271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967567,0.0001511311,0.001946409,0.0003259884,0.00003151166,0.00001267709,0.0003301791,0.00003623033,0.0004090524],"genre_scores_gemma":[0.9983916,0.00007287521,0.0005826448,0.00001592703,0.00002671524,0.000009482216,0.0003248592,0.000009453142,0.0005665614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01838123,"threshold_uncertainty_score":0.0365485,"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."}}