{"id":"W4308112387","doi":"10.1007/s10597-022-01036-3","title":"The Impact of COVID-19 on Clubhouse Employment Programs","year":2022,"lang":"en","type":"article","venue":"Community Mental Health Journal","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Mitacs","keywords":"Pandemic; Psychosocial; Coronavirus disease 2019 (COVID-19); Supported employment; Rehabilitation; Mental health; Work (physics); Psychology; Unemployment; Demographic economics; Gerontology; Medicine; Economic growth; Economics; Psychiatry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0201624,0.0004275328,0.000594086,0.001621981,0.007785897,0.00700491,0.004294429,0.003593934,0.0219369],"category_scores_gemma":[0.04431361,0.0005032655,0.001003409,0.001623911,0.002135411,0.002654427,0.01014165,0.005493246,0.001204931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02051223,"about_ca_system_score_gemma":0.06975995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1366114,"about_ca_topic_score_gemma":0.3181501,"domain_scores_codex":[0.9680049,0.01120798,0.001194356,0.0009770816,0.005920588,0.01269512],"domain_scores_gemma":[0.9210575,0.01413121,0.004207143,0.001808316,0.01011358,0.04868221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004388099,0.0354363,0.4261169,0.001275452,0.0002492593,0.001081257,0.01225916,0.001522639,0.001770984,0.01729101,0.08889157,0.4097172],"study_design_scores_gemma":[0.0008124281,0.0051615,0.8940892,0.001304982,0.0001333907,0.0001685725,0.04671264,0.001483088,0.001000315,0.001380468,0.04765753,0.00009580482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.836778,0.00100687,0.0004384072,0.06248872,0.001553152,0.001744543,0.002223297,0.0001357788,0.0936313],"genre_scores_gemma":[0.9702111,0.0003989773,0.001050944,0.01237025,0.0003023485,0.0007854438,0.0008341922,0.0000439754,0.01400282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1366114,"threshold_uncertainty_score":0.2716325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1575640457326359,"score_gpt":0.4893947824328823,"score_spread":0.3318307367002464,"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."}}