{"id":"W2588734135","doi":"10.1097/nmd.0000000000000612","title":"Predictors of Acquisition of Competitive Employment for People Enrolled in Supported Employment Programs","year":2017,"lang":"en","type":"article","venue":"The Journal of Nervous and Mental Disease","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health; Simon Fraser University; Université de Montréal; Université Laval; Institut Universitaire en Santé Mentale de Québec; Fonds de Recherche du Québec - Santé; Université de Sherbrooke; Université du Québec à Montréal","funders":"","keywords":"Alliance; Supported employment; Unemployment; Psychology; Multilevel model; Quality (philosophy); Variance (accounting); Mental illness; Sample (material); Dreyfus model of skill acquisition; Duration (music); Mental health; Demographic economics; Work (physics); Business; Psychiatry; Political science; Economics; Economic growth","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":[0.0005912213,0.0001646578,0.0002031275,0.0006138263,0.001175421,0.0007668702,0.0005329839,0.0004456454,0.002983809],"category_scores_gemma":[0.003577555,0.000182832,0.000256541,0.0006045394,0.00043502,0.0003736565,0.001017001,0.001092323,0.0002257962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025724,"about_ca_system_score_gemma":0.002176323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1202758,"about_ca_topic_score_gemma":0.2591953,"domain_scores_codex":[0.9993973,0.00006203208,0.00004148175,0.00003691406,0.0001821955,0.0002801702],"domain_scores_gemma":[0.9980043,0.0001854912,0.0005727288,0.00005945554,0.0003802844,0.0007978191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002122446,0.00006865723,0.9974853,0.000006209787,0.000007462241,0.00003857626,0.0002549571,0.00001299128,0.00005153392,0.00001679424,0.0000994,0.001936814],"study_design_scores_gemma":[0.000001259582,0.00003060711,0.9986291,0.000007535455,0.000002162288,0.00005531503,0.001102563,0.00005523585,0.0000107294,0.000008994357,0.00009504896,0.000001493913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992657,0.00004724781,0.00001712907,0.00007505259,0.000002628035,0.000009271404,0.00006484274,0.000001290366,0.0005168906],"genre_scores_gemma":[0.9996791,0.0000420516,0.00003386018,0.00001461244,0.00000211764,0.000003567129,0.00008941617,5.832126e-7,0.000134777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1202758,"threshold_uncertainty_score":0.2391514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02857324803936815,"score_gpt":0.3531118731951524,"score_spread":0.3245386251557842,"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."}}