{"id":"W4213079419","doi":"10.1192/j.eurpsy.2021.423","title":"Prediction of quality of life in schizophrenia using machine learning models on data from clinical antipsychotic trials of intervention effectiveness (CATIE) schizophrenia trial","year":2021,"lang":"en","type":"article","venue":"European Psychiatry","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut national de psychiatrie légale Philippe-Pinel; Université de Montréal; Institut universitaire en santé mentale de Montréal; McGill University; Institut Universitaire en Santé Mentale de Québec","funders":"","keywords":"Neurocognitive; Schizophrenia (object-oriented programming); Quality of life (healthcare); Antipsychotic; Psychology; Clinical psychology; Randomized controlled trial; Clinical trial; Psychiatry; Intervention (counseling); Mental health; Medicine; Cognition; Internal medicine; Psychotherapist","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":[0.01769584,0.0008221216,0.001848289,0.0006991173,0.0001850162,0.0008738321,0.0005813722,0.0006354386,0.001634801],"category_scores_gemma":[0.01933266,0.0003003345,0.002121486,0.0005335209,0.0003209108,0.0004771463,0.0005665341,0.001095143,0.0001563816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005654956,"about_ca_system_score_gemma":0.0008480541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001527219,"about_ca_topic_score_gemma":0.001218828,"domain_scores_codex":[0.9927917,0.006299999,0.0003025264,0.0002992115,0.0001882455,0.0001183742],"domain_scores_gemma":[0.9788105,0.0176245,0.002103774,0.0006658412,0.0003873059,0.0004080287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.2286981,0.002473979,0.4020728,0.002529655,0.02302362,0.0002234708,0.0002555572,0.243829,0.002051071,0.001038206,0.003826837,0.08997772],"study_design_scores_gemma":[0.04246688,0.03321341,0.2810651,0.0007743618,0.0101651,0.0002703527,0.0001962974,0.623702,0.002136274,0.003797018,0.002045554,0.0001677223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909065,0.002268736,0.003631105,0.0003777815,0.00003871444,0.0003482384,0.001887407,0.00005698409,0.0004845713],"genre_scores_gemma":[0.9940283,0.0003752589,0.002109654,0.00006787157,0.00002296577,0.0004233848,0.002782409,0.000006474099,0.0001836966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01769584,"threshold_uncertainty_score":0.09358567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3577202036533564,"score_gpt":0.4463052429584479,"score_spread":0.08858503930509154,"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."}}