{"id":"W4310689146","doi":"10.12927/hcpol.2022.26970","title":"Personal Support Work and Home Care in Ontario during the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; University of Waterloo","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Personal protective equipment; Economic shortage; Work (physics); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Nursing; Key (lock); Business; Medicine; Psychology; Computer security; Virology; Engineering; Computer science; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001272522,0.0001314779,0.0001774165,0.0005217367,0.008680576,0.001658585,0.000792444,0.0006987776,0.002535023],"category_scores_gemma":[0.003686147,0.0001706824,0.0001869695,0.0009473004,0.002425533,0.0006101389,0.002090942,0.0009735461,0.0001182437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07374463,"about_ca_system_score_gemma":0.08720201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9872296,"about_ca_topic_score_gemma":0.9954067,"domain_scores_codex":[0.9984319,0.0002480669,0.00006072102,0.00007825615,0.0003482633,0.0008328001],"domain_scores_gemma":[0.9965436,0.0003229903,0.000641222,0.00007232412,0.0008587158,0.001561129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002469313,0.0002130915,0.7494069,0.0002762636,0.00003141958,0.001500342,0.1861595,0.0004938571,0.000968345,0.003196351,0.01523628,0.04227082],"study_design_scores_gemma":[0.00002117729,0.00008401804,0.818633,0.0002540103,0.0000119674,0.0001339471,0.1543519,0.0002254595,0.0001143535,0.0002745977,0.02586895,0.00002662357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974661,0.0007662208,0.00008150775,0.009765314,0.0000534389,0.0000724202,0.000289625,0.000006254183,0.01430422],"genre_scores_gemma":[0.9943072,0.0007997158,0.0001087418,0.0009620974,0.00001959967,0.0000311272,0.00009344356,0.00000367912,0.003674413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07374463,"threshold_uncertainty_score":0.5350572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08618933017232779,"score_gpt":0.4202514461764452,"score_spread":0.3340621160041174,"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."}}