{"id":"W3082065223","doi":"10.1080/14999013.2020.1812772","title":"Voluntary and Forced Migrants in Forensic Mental Health Care","year":2020,"lang":"en","type":"article","venue":"International Journal of Forensic Mental Health","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Mental health; Mental illness; Psychiatry; Forensic science; Medicine; Population; Criminal justice; Health care; Demography; Psychology; Environmental health; Criminology; Sociology; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004199929,0.000160686,0.0002154764,0.0005570414,0.001930958,0.0009339454,0.0004023005,0.0003087266,0.002628729],"category_scores_gemma":[0.002170632,0.0001406852,0.00019855,0.0007452228,0.0005910232,0.0005325205,0.001420416,0.0004427073,0.0001511062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171434,"about_ca_system_score_gemma":0.00337222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09576266,"about_ca_topic_score_gemma":0.2611419,"domain_scores_codex":[0.9992537,0.0001265774,0.00003887074,0.00005948333,0.0001181518,0.0004032049],"domain_scores_gemma":[0.9993379,0.00007179558,0.0002001053,0.00002801225,0.00008766614,0.0002744893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008526006,0.00006715327,0.9852517,0.00002073883,0.00001436364,0.0004706759,0.005372144,0.00002392041,0.0002024213,0.000173015,0.0005459022,0.00777276],"study_design_scores_gemma":[0.00001388849,0.000127207,0.9516104,0.00006612678,0.00001214194,0.001575858,0.04487315,0.00008752618,0.0000685799,0.0001293469,0.001427234,0.000008610083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993693,0.00008479182,0.00001088006,0.0000999697,0.000008633034,0.000007116038,0.0000397605,8.064053e-7,0.0003788631],"genre_scores_gemma":[0.9994488,0.0001128392,0.00003306873,0.00009055697,0.000005972133,0.000008118237,0.00006106723,8.4264e-7,0.0002388155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09576266,"threshold_uncertainty_score":0.1904106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347553278145826,"score_gpt":0.3539703291182756,"score_spread":0.3304947963368174,"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."}}