{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001979477,0.0001795374,0.000260994,0.00002524669,0.001345747,0.000208322,0.0002680236,0.00007986942,0.0001203878],"category_scores_gemma":[0.0003506067,0.0001232741,0.0001192589,0.0002209962,0.0004216191,0.00009982806,0.00007393405,0.000126479,0.00001522586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007858017,"about_ca_system_score_gemma":0.0001720827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01307448,"about_ca_topic_score_gemma":0.07305612,"domain_scores_codex":[0.9984974,0.0002966989,0.0001445282,0.0003527431,0.0003909894,0.0003176938],"domain_scores_gemma":[0.9991792,0.0001835991,0.00008633153,0.0001607371,0.0001012632,0.0002888825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002909962,0.000005234381,0.0611336,0.0001802157,0.0000568679,0.00001767462,0.91932,0.000007015067,0.00001185539,0.002400506,0.01583273,0.001005155],"study_design_scores_gemma":[0.001143887,0.0000353579,0.05351996,0.00002136471,0.0001024022,0.00000115455,0.4207509,0.000002625114,0.00001252512,0.0001203199,0.5240144,0.0002750723],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6246051,0.09005911,0.00005738039,0.2788294,0.0004045358,0.0008958253,0.0001396953,0.0002731244,0.004735847],"genre_scores_gemma":[0.9820533,0.009707822,0.00003573412,0.00698782,0.0004771696,0.00004452455,0.00001292995,0.00001473936,0.000665946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5081816,"threshold_uncertainty_score":0.9999543,"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."}}