{"id":"W4386920926","doi":"10.1371/journal.pone.0288354","title":"Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Diabetes Canada; University of Toronto; Centre for Addiction and Mental Health","funders":"Centre for Addiction and Mental Health","keywords":"Psychological intervention; Population; Categorical variable; Medicine; Cohort; Psychology; Gerontology; Clinical psychology; Psychiatry; Computer science; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01619441,0.002983833,0.004381875,0.002241486,0.00389152,0.002261812,0.003299451,0.002513732,0.03535186],"category_scores_gemma":[0.01284439,0.002608044,0.003855567,0.002230964,0.001706004,0.002027404,0.002832037,0.003720966,0.009074595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006170033,"about_ca_system_score_gemma":0.02452943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01315422,"about_ca_topic_score_gemma":0.01809634,"domain_scores_codex":[0.9951894,0.002295784,0.0009177084,0.0007302987,0.0003867079,0.0004799709],"domain_scores_gemma":[0.9938579,0.001114187,0.001063912,0.001091141,0.002176024,0.0006967298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.4075395,0.04641938,0.09175052,0.03818108,0.00493981,0.002223144,0.005913315,0.01661487,0.006902456,0.01720191,0.1386612,0.2236528],"study_design_scores_gemma":[0.3147993,0.07258251,0.2364508,0.01566463,0.004425044,0.0009533779,0.005019277,0.01600227,0.00559893,0.01953121,0.3076476,0.001325071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.01135932,0.0002640811,0.003256622,0.0001779276,0.00007637268,0.9729763,0.009905625,0.00008535864,0.001898268],"genre_scores_gemma":[0.003964147,0.0001371967,0.002229998,0.00007048406,0.00001239368,0.9911006,0.002051715,0.000007005119,0.0004265364],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.03535186,"threshold_uncertainty_score":0.1182638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07049657027649593,"score_gpt":0.299999475604878,"score_spread":0.2295029053283821,"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."}}