{"id":"W3126914532","doi":"10.1017/s1744133121000062","title":"Expanding health care coverage in Canada: a dramatic shift in the debate","year":2021,"lang":"en","type":"article","venue":"Health Economics Policy and Law","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Affairs Canada; Parks Canada; Institute of Health Services and Policy Research; University of Toronto","funders":"","keywords":"Government (linguistics); Pandemic; Health care; Federalism; Political science; Long-term care; Coronavirus disease 2019 (COVID-19); Public administration; State (computer science); Economic growth; Medicine; Economics; Disease; Nursing; Politics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.008889062,0.0004898107,0.001200984,0.004261625,0.01169166,0.01451916,0.00370013,0.01113878,0.008607463],"category_scores_gemma":[0.02521959,0.0005403496,0.001216385,0.007152416,0.01073891,0.003935684,0.003151989,0.0113115,0.0003897142],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2708182,"about_ca_system_score_gemma":0.3633153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941567,"about_ca_topic_score_gemma":0.9951847,"domain_scores_codex":[0.9871807,0.001080432,0.000369381,0.0007021395,0.007329704,0.00333778],"domain_scores_gemma":[0.9688424,0.008322464,0.001117377,0.0004752272,0.011232,0.01001042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001774342,0.0001276255,0.01393879,0.0006873034,0.0001872915,0.0006171712,0.002469831,0.001913486,0.0004002311,0.4429532,0.4142334,0.1222944],"study_design_scores_gemma":[0.0001911494,0.00007016855,0.07659321,0.003321033,0.0002294973,0.0002762518,0.005078538,0.002852702,0.0004863755,0.05877661,0.8518329,0.0002916274],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.008726807,0.04218788,0.0002732012,0.9208895,0.001189322,0.00001471279,0.0005895428,0.00002500243,0.02610394],"genre_scores_gemma":[0.4185198,0.09630993,0.001950734,0.4579963,0.005957434,0.00004394466,0.0008086166,0.00009913516,0.01831407],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.2708182,"threshold_uncertainty_score":0.8457475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04324140962440511,"score_gpt":0.2905616919321183,"score_spread":0.2473202823077132,"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."}}