{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006673806,0.0001599334,0.0003906023,0.0002071996,0.0006909942,0.000004010256,0.0002265204,0.000120745,0.0005009317],"category_scores_gemma":[0.0004272677,0.0001505009,0.00003814799,0.0004929517,0.00001260216,0.00006655455,0.0001567926,0.0007690339,0.0003768676],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01102854,"about_ca_system_score_gemma":0.0601161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.971434,"about_ca_topic_score_gemma":0.9979294,"domain_scores_codex":[0.9971258,0.0004954765,0.0006600982,0.000313012,0.0003125782,0.001093009],"domain_scores_gemma":[0.9981081,0.0007895932,0.0001787361,0.0003236039,0.00006865017,0.000531281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003437832,0.000003683401,0.74972,0.0008264087,0.000006389173,0.0000355283,0.01818565,0.00007081399,0.00001295314,0.00008500346,0.2216518,0.009367357],"study_design_scores_gemma":[0.001071141,0.00005017452,0.3613837,0.00007446604,0.000002643883,0.00000178238,0.03895187,0.0000269115,0.000001023978,0.00005910067,0.5981948,0.0001823122],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271185,0.001778882,0.000008378755,0.06228671,0.001762627,0.001044252,0.0004309081,0.0004078327,0.005161887],"genre_scores_gemma":[0.857547,0.0003364776,0.00005222589,0.1401702,0.0001291186,0.0001126572,0.0002966133,0.00002921051,0.00132641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3883363,"threshold_uncertainty_score":0.9927679,"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."}}