{"id":"W4407994561","doi":"10.1192/bjo.2024.853","title":"Developing an algorithm to identify individuals with psychosis in secondary care in England: application using the Mental Health Services Data Set","year":2025,"lang":"en","type":"article","venue":"BJPsych Open","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Institute for Clinical Evaluative Sciences; Centre for Addiction and Mental Health","funders":"Economic and Social Research Council","keywords":"Psychosis; Mental health; Referral; Psychiatry; Minimum Data Set; Intervention (counseling); Algorithm; Population; Set (abstract data type); Health care; Psychological intervention; Medicine; Psychology; Computer science; Family medicine; Nursing; Environmental health","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":[0.0006747475,0.0001292318,0.0002399989,0.0002291006,0.0001451492,0.0001549066,0.0007566491,0.00003924721,0.0000168506],"category_scores_gemma":[0.000004224151,0.00008804591,0.00001016383,0.0007228736,0.00001681976,0.0002974242,0.0004517411,0.0001758803,0.000007282172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003321378,"about_ca_system_score_gemma":0.0008079646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01157159,"about_ca_topic_score_gemma":0.08005109,"domain_scores_codex":[0.9985809,0.0001398324,0.0002521136,0.0004889915,0.0002612986,0.0002768664],"domain_scores_gemma":[0.9989645,0.00002850081,0.00005652918,0.0007934054,0.00004202997,0.0001150051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00132901,0.0001870142,0.2174503,0.0001880863,0.000103187,0.00001099973,0.008330132,0.000004595162,0.00002708124,0.00008342468,0.000261414,0.7720248],"study_design_scores_gemma":[0.01016121,0.0003282643,0.9461819,0.00131092,0.00002247175,0.0000224311,0.01173709,0.0008417412,0.0001535828,0.0002575152,0.02881435,0.0001685413],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784324,0.001027427,0.0009674658,0.0123303,0.00007265402,0.006407337,0.0004694971,0.00001873252,0.0002741875],"genre_scores_gemma":[0.8782465,0.0001485736,0.1132727,0.003846875,0.00006499573,0.0006769599,0.003683727,0.00002593087,0.00003372298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7718562,"threshold_uncertainty_score":0.9950104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07224228880863899,"score_gpt":0.466793671292169,"score_spread":0.39455138248353,"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."}}