{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003526785,0.000111672,0.0003071637,0.00006554322,0.0001591247,0.00001443103,0.0001940753,0.00002713484,0.00009604668],"category_scores_gemma":[0.000007339884,0.00007077272,0.0001054714,0.00003213619,0.0001134467,0.0001084767,0.000051858,0.00005566565,6.693182e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004832624,"about_ca_system_score_gemma":0.00003118034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002905489,"about_ca_topic_score_gemma":0.0001181599,"domain_scores_codex":[0.9989478,0.0000913345,0.0004918174,0.00009112083,0.0002017163,0.000176198],"domain_scores_gemma":[0.9987912,0.00005492689,0.0007471825,0.0001874226,0.00006114803,0.0001580944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01454316,0.004676395,0.949341,0.0002976045,0.0004281157,0.00004065934,0.00794171,0.000004296621,0.001443198,0.0007974806,0.0005521181,0.01993424],"study_design_scores_gemma":[0.006273194,0.001893004,0.9878137,0.0002520121,0.0002091413,0.00001179457,0.002390365,0.00001976055,0.0006713691,0.0002789563,0.0001162594,0.00007046111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969785,0.0006961514,0.000008381769,0.0005799503,0.0003480702,0.001043272,0.0001203845,0.000002726258,0.0002225235],"genre_scores_gemma":[0.9994267,0.0001623233,0.00002240494,0.00004584926,0.00005774856,0.00004268267,0.00003224662,0.00001003549,0.0002000593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03847266,"threshold_uncertainty_score":0.2886028,"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."}}