{"id":"W4205669258","doi":"10.51644/bap22","title":"Migrant Care Labour and the COVID-19 Long-term Care Crisis: How Did We Get Here?","year":2020,"lang":"en","type":"article","venue":"Balsillie Papers","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Western University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Term (time); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Long-term care; Economic growth; Development economics; Business; Medicine; Economics; Nursing; Disease; Outbreak; Virology; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004524251,0.0005082607,0.0006779123,0.001259551,0.01061452,0.009949002,0.001066412,0.00633724,0.01033526],"category_scores_gemma":[0.01011227,0.0003328241,0.0004285598,0.001543916,0.004519593,0.008905086,0.004852094,0.01012268,0.001003139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004354815,"about_ca_system_score_gemma":0.01243485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03454212,"about_ca_topic_score_gemma":0.06809461,"domain_scores_codex":[0.9982203,0.000931886,0.00007011209,0.00008532238,0.0001693349,0.0005231002],"domain_scores_gemma":[0.9941424,0.00152613,0.0004572452,0.0001047606,0.0007926896,0.002976851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009144349,0.0003208545,0.01750514,0.0006633134,0.00005234498,0.001086806,0.1017693,0.00006278259,0.0001228581,0.04495774,0.7365393,0.09682814],"study_design_scores_gemma":[0.00005930967,0.0001617762,0.02286996,0.003545992,0.00003953691,0.0005447255,0.409139,0.00007861699,0.00007493162,0.01724934,0.5461681,0.00006870462],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0138273,0.0274386,0.00002002962,0.9483644,0.00512674,0.000007418329,0.00003082472,0.000005291897,0.005179432],"genre_scores_gemma":[0.3256107,0.206556,0.0003045315,0.394002,0.02947059,0.0001694703,0.0001610668,0.00007513419,0.04365048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03454212,"threshold_uncertainty_score":0.06868213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983590353609803,"score_gpt":0.2783513233509163,"score_spread":0.2585154198148183,"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."}}