{"id":"W2912083297","doi":"10.1176/appi.ps.201800319","title":"Caught in the “NEET Trap”: The Intersection Between Vocational Inactivity and Disengagement From an Early Intervention Service for Psychosis","year":2019,"lang":"en","type":"article","venue":"Psychiatric Services","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Douglas Mental Health University Institute","funders":"National Institute of Mental Health; Canadian Institutes of Health Research; McGill University; Bristol-Myers Squibb Canada; H. Lundbeck A/S; Canada Research Chairs; Pfizer","keywords":"Disengagement theory; Hazard ratio; Confidence interval; Medicine; Intervention (counseling); Proportional hazards model; Vocational education; Psychiatry; Psychosis; Internal medicine; Psychology; Demography; Gerontology","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":[0.001519385,0.000135337,0.0003525164,0.0006858083,0.001642985,0.001407052,0.0005172439,0.0003666367,0.001821157],"category_scores_gemma":[0.006200745,0.0001647023,0.0003572673,0.0007113073,0.001094829,0.0007150866,0.001852104,0.0011128,0.00008459594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002076176,"about_ca_system_score_gemma":0.003935841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1130963,"about_ca_topic_score_gemma":0.2404291,"domain_scores_codex":[0.9987204,0.000403313,0.00005329155,0.00009948427,0.0002918818,0.0004315584],"domain_scores_gemma":[0.9968822,0.0006702896,0.001337555,0.0001083178,0.0002269866,0.0007747564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002800311,0.00008636525,0.9854358,0.00001910759,0.00002773244,0.0001561326,0.002154653,0.00004587594,0.0001529253,0.0002221497,0.0001132503,0.01130592],"study_design_scores_gemma":[0.000003138257,0.00007936695,0.9958978,0.00003241276,0.00001092071,0.0001555467,0.003341397,0.000112879,0.00003133555,0.00008965331,0.0002406351,0.000004917004],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987566,0.0001863916,0.0000798395,0.0002915149,0.000003452741,0.00000586704,0.00002369623,0.000001366623,0.0006511126],"genre_scores_gemma":[0.9997153,0.00007185935,0.00003432282,0.00003256637,0.00000263699,0.000001711227,0.00002722336,8.422411e-7,0.0001136309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1130963,"threshold_uncertainty_score":0.224876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064113467658628,"score_gpt":0.326991113868145,"score_spread":0.3063499791915587,"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."}}