{"id":"W3127826835","doi":"10.1016/j.euroneuro.2021.01.095","title":"Identifying clinical clusters with distinct trajectories in first-episode psychosis through an unsupervised machine learning technique","year":2021,"lang":"en","type":"article","venue":"European Neuropsychopharmacology","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"European Regional Development Fund; Instituto de Salud Carlos III; Fundación Bancaria Caixa d'Estalvis i Pensions de Barcelona; Centro de Investigación Biomédica en Red de Salud Mental; Ministerio de Economía y Competitividad; Generalitat de Catalunya; European Commission; Centres de Recerca de Catalunya; Ministerio de Ciencia, Innovación y Universidades","keywords":"Psychosocial; Anxiety; Psychological intervention; Cognition; Schizophrenia (object-oriented programming); Clinical psychology; Psychology; Psychiatry; Psychosis; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006876481,0.000387539,0.00060399,0.0001859355,0.0001889371,0.00006335592,0.000272726,0.00008627563,0.0004008065],"category_scores_gemma":[0.0002219539,0.0003224086,0.000178432,0.0007895656,0.0002626325,0.0002429238,0.0001344082,0.001431501,0.00008848605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008455315,"about_ca_system_score_gemma":0.00008871637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001346895,"about_ca_topic_score_gemma":0.001235417,"domain_scores_codex":[0.9947067,0.002496897,0.0007010248,0.001071305,0.0003644277,0.0006596783],"domain_scores_gemma":[0.9984024,0.0003443693,0.0001392286,0.0005480958,0.0001469349,0.0004189271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02525679,0.003395453,0.9128544,0.0002078564,0.0004093727,0.03269053,0.0006690653,0.0001132125,0.01475831,0.00008060868,0.0008398048,0.008724593],"study_design_scores_gemma":[0.02256119,0.003777832,0.9549007,0.0001951743,0.0002446312,0.001453,0.0001285926,0.000428924,0.001200475,0.00005816264,0.01459975,0.0004516043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918061,0.0005452821,0.0006679245,0.00238725,0.0007021272,0.0008752355,0.000008530709,0.0004108136,0.00259669],"genre_scores_gemma":[0.9897574,0.001398868,0.006364965,0.001357432,0.0003933627,0.0001197277,0.00009578976,0.0002014549,0.0003110388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04204627,"threshold_uncertainty_score":0.9999228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05769019807422648,"score_gpt":0.3791986074337913,"score_spread":0.3215084093595648,"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."}}