{"id":"W4381997137","doi":"10.1177/11786329231183317","title":"Identifying Unique Subgroups of High-Cost Patients With Schizophrenia: A Population-Based Study Using Latent Class Analysis","year":2023,"lang":"en","type":"article","venue":"Health Services Insights","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Government of Alberta; Institute of Health Services and Policy Research; Alberta Health Services","keywords":"Latent class model; Psychological intervention; Polypharmacy; Medicine; Schizophrenia (object-oriented programming); Population; Health care; Emergency department; Psychiatry; Intensive care medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002010456,0.0003749875,0.000417071,0.001925542,0.0017351,0.001578263,0.0005839849,0.0006144163,0.001154319],"category_scores_gemma":[0.00449613,0.0003320387,0.001007214,0.001924246,0.0007854054,0.0009243596,0.001553688,0.001081497,0.0002090836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00250869,"about_ca_system_score_gemma":0.002178391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08593436,"about_ca_topic_score_gemma":0.1076062,"domain_scores_codex":[0.9985951,0.0005376143,0.0001064754,0.0002334879,0.0002019924,0.0003253567],"domain_scores_gemma":[0.9980842,0.0004227881,0.0007108263,0.0002934397,0.0002192486,0.0002695832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007650807,0.0001149014,0.9976737,0.000004544902,0.00005518858,0.00002486012,0.000497964,0.00007877328,0.0000889766,0.0001257977,0.0001257178,0.001133145],"study_design_scores_gemma":[0.0000201654,0.0001208126,0.9927463,0.00001410971,0.00005112798,0.00009814039,0.003102681,0.003175046,0.00005972138,0.0003620836,0.0002325256,0.00001734976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993371,0.00002975514,0.000260202,0.00005480773,0.000002250647,0.00002174101,0.0001855924,0.000001692514,0.0001067019],"genre_scores_gemma":[0.9993246,0.00002696145,0.0001763568,0.00002685063,0.000003351631,0.00002250302,0.0003586795,0.000001860526,0.00005894788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08593436,"threshold_uncertainty_score":0.1708683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03383773149104475,"score_gpt":0.3335707108412609,"score_spread":0.2997329793502161,"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."}}