{"id":"W3157624227","doi":"10.1177/07311214211012018","title":"Working Differently or Not at All: COVID-19’s Effects on Employment among People with Disabilities and Chronic Health Conditions","year":2021,"lang":"en","type":"article","venue":"Sociological Perspectives","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Alberta","funders":"Ontario Ministry of Research and Innovation; Social Sciences and Humanities Research Council of Canada","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Psychology; Health care; Face (sociological concept); Demographic economics; Economic growth; Political science; Gerontology; Sociology; Medicine; Economics","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":[0.003746721,0.0002331272,0.0004263989,0.001012382,0.007850829,0.002954142,0.0008815134,0.001129756,0.007142877],"category_scores_gemma":[0.008507586,0.0001997821,0.0007717196,0.0015014,0.003131175,0.001988694,0.007643808,0.002251395,0.0002719316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006083649,"about_ca_system_score_gemma":0.008919945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3023563,"about_ca_topic_score_gemma":0.5565593,"domain_scores_codex":[0.9961016,0.001557446,0.0001416861,0.0001846318,0.0004204058,0.001594307],"domain_scores_gemma":[0.9929779,0.001580398,0.001409844,0.0002290496,0.0007557408,0.003047129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003482188,0.0005792132,0.7917296,0.0002035156,0.0001070606,0.0007508622,0.1385704,0.00007050873,0.0002355016,0.002926555,0.00743084,0.05704772],"study_design_scores_gemma":[0.00001344965,0.0001021248,0.7358206,0.000343676,0.00003699514,0.0001244139,0.2558731,0.00005046269,0.0000421069,0.0004275973,0.007143995,0.00002145656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752718,0.001469872,0.0000437519,0.01059971,0.0001369539,0.00002321945,0.0002122208,0.000003652916,0.0122388],"genre_scores_gemma":[0.9976248,0.0005417606,0.00003856149,0.0009149939,0.00004040805,0.00001185388,0.00005323212,0.000002458655,0.000771791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3023563,"threshold_uncertainty_score":0.6011928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2310659342520303,"score_gpt":0.4490518771981554,"score_spread":0.2179859429461251,"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."}}