{"id":"W4385818037","doi":"10.1139/facets-2022-0225","title":"Strengthening health care in Canada post-COVID-19 pandemic","year":2023,"lang":"en","type":"article","venue":"FACETS","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; St. Francis Xavier University; Queen's University; University of Toronto","funders":"National Institutes of Health; University of British Columbia; U.S. Department of Health and Human Services","keywords":"Pandemic; Operationalization; Health care; Socioeconomic status; Health policy; Health equity; Political science; Economic growth; Public health; Coronavirus disease 2019 (COVID-19); Medicine; Environmental health; Nursing; Population; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004795062,0.000618213,0.0005399236,0.001485737,0.02684767,0.009404278,0.003489602,0.007183075,0.007114918],"category_scores_gemma":[0.0116235,0.0004673403,0.001207343,0.002148503,0.007457385,0.003411624,0.006467665,0.008502133,0.0005258968],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2905506,"about_ca_system_score_gemma":0.6243896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971333,"about_ca_topic_score_gemma":0.9989325,"domain_scores_codex":[0.9904103,0.000937204,0.0002279172,0.0003134489,0.001903311,0.006207766],"domain_scores_gemma":[0.9893312,0.001552901,0.0003726362,0.0001721927,0.003574371,0.004996598],"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":[0.0000873122,0.0001524731,0.01200806,0.001542937,0.00008271513,0.001230238,0.01984991,0.002697278,0.000687815,0.2328255,0.6190991,0.1097365],"study_design_scores_gemma":[0.00006365873,0.0001001347,0.02754018,0.002139277,0.00008149121,0.0001852206,0.02771951,0.0009920459,0.0003408032,0.01332007,0.927319,0.000198665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01645122,0.02255334,0.0008935819,0.8678767,0.004036282,0.0002232807,0.0007783833,0.0001218101,0.08706552],"genre_scores_gemma":[0.4457084,0.05894328,0.008146724,0.4188408,0.002064174,0.0004419727,0.001057162,0.00009803324,0.06469956],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.7094494,"threshold_uncertainty_score":0.8228608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08648492558446798,"score_gpt":0.4492848884271042,"score_spread":0.3627999628426362,"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."}}