{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004096337,0.0002501404,0.0003284599,0.0002227513,0.01064947,0.00001455646,0.0004251155,0.0001072867,0.00199535],"category_scores_gemma":[0.0001687292,0.0001963715,0.0001363012,0.0005467544,0.0001151743,0.00006105968,0.001002407,0.001205335,0.000187368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003294406,"about_ca_system_score_gemma":0.002747816,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01969231,"about_ca_topic_score_gemma":0.01774704,"domain_scores_codex":[0.9961443,0.001264093,0.000537482,0.0004227657,0.0005302029,0.001101137],"domain_scores_gemma":[0.9982956,0.0003222219,0.0002371214,0.0005831617,0.0001160557,0.0004458499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002263175,0.00006965901,0.7581125,0.002017589,0.00008717603,0.00006618215,0.1293877,0.00003527377,0.000008305845,0.07926133,0.02856824,0.002159701],"study_design_scores_gemma":[0.001739333,0.0001805728,0.7541125,0.00007027691,0.00002815093,0.00001957628,0.0978168,6.638115e-7,0.000003167103,0.002907417,0.1427944,0.0003271645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5951786,0.002414292,0.00001117022,0.3908353,0.001588111,0.001759369,0.0002705544,0.0002730051,0.007669665],"genre_scores_gemma":[0.9345763,0.00033083,0.000003945457,0.0498858,0.008843607,0.0009450633,0.0000761486,0.00005750238,0.005280832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3409494,"threshold_uncertainty_score":0.998917,"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."}}