{"id":"W4285406499","doi":"10.12927/hcpol.2022.26859","title":"Long-Term Care during COVID-19: A Special Look under the Hood","year":2022,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neglect; Coronavirus disease 2019 (COVID-19); Workforce; Long-term care; Health care; Isolation (microbiology); Term (time); Pandemic; Focus (optics); 2019-20 coronavirus outbreak; Political science; Nursing; Public relations; Medicine; Virology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00612418,0.0002858966,0.0005677839,0.001512218,0.008201447,0.005427064,0.001424932,0.007900494,0.007683342],"category_scores_gemma":[0.011548,0.0003877377,0.0006349074,0.001526428,0.003256575,0.006659332,0.00411948,0.008474153,0.0007323108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004417953,"about_ca_system_score_gemma":0.02323792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04746389,"about_ca_topic_score_gemma":0.1897529,"domain_scores_codex":[0.9962232,0.001305513,0.0004832298,0.0002078082,0.0006325139,0.001147703],"domain_scores_gemma":[0.9855419,0.003217238,0.001463437,0.0003960031,0.002241607,0.007139813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003524072,0.0005432115,0.1500374,0.002495274,0.00009156958,0.005872571,0.04423026,0.0001221914,0.00119414,0.01318338,0.5271982,0.2546794],"study_design_scores_gemma":[0.00005565754,0.0009747065,0.2594947,0.01169127,0.0001256568,0.003831826,0.2414136,0.0002098816,0.0004072387,0.005455246,0.4761119,0.0002283074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04623258,0.03843287,0.0002066617,0.8899776,0.01697982,0.00005551964,0.0001914946,0.00002787292,0.007895478],"genre_scores_gemma":[0.4062514,0.1073871,0.001708093,0.4109067,0.05756336,0.0002533678,0.0004957371,0.0001309205,0.01530329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04746389,"threshold_uncertainty_score":0.09437525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08472696168713346,"score_gpt":0.4622050165497259,"score_spread":0.3774780548625924,"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."}}