{"id":"W4389304104","doi":"10.1503/cmaj.221824","title":"Primary care for all: lessons for Canada from peer countries with high primary care attachment","year":2023,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; National Institute for Health and Care Research","keywords":"Primary care; Equity (law); Pandemic; Primary health care; Coronavirus disease 2019 (COVID-19); Medicine; MEDLINE; Family medicine; Nursing; Political science; Environmental health; Disease; Infectious disease (medical specialty); Pathology","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":[0.01157831,0.00103892,0.001524377,0.002455037,0.02347021,0.01585211,0.006198865,0.01139955,0.02422001],"category_scores_gemma":[0.03719542,0.0007837636,0.001499905,0.005261569,0.01195435,0.009752263,0.01200681,0.02286223,0.002237853],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1380098,"about_ca_system_score_gemma":0.5582561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9858534,"about_ca_topic_score_gemma":0.9946678,"domain_scores_codex":[0.9819252,0.002686972,0.0006260193,0.0009584734,0.005859334,0.007943966],"domain_scores_gemma":[0.9200654,0.005486065,0.001208432,0.001053793,0.02221242,0.04997383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009206338,0.0001205019,0.009707514,0.000722178,0.00005402968,0.0008567116,0.006349484,0.0001813251,0.0001020308,0.02768077,0.8745113,0.07962216],"study_design_scores_gemma":[0.0002599879,0.0002018324,0.04936848,0.01278328,0.0001933443,0.0007082318,0.0732458,0.0004437169,0.0002135482,0.03224662,0.8299759,0.000359224],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002980553,0.01385846,0.0002250251,0.9626306,0.004172189,0.00004981018,0.0004846125,0.00006244034,0.01553638],"genre_scores_gemma":[0.2478708,0.08442111,0.006165397,0.6252475,0.006439621,0.0003574837,0.001520137,0.0004075825,0.02757025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8619902,"threshold_uncertainty_score":0.9997864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02518634281139976,"score_gpt":0.3596846870547954,"score_spread":0.3344983442433956,"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."}}