{"id":"W2790649159","doi":"10.1017/s1744133117000378","title":"Can history improve big bang health reform? Commentary","year":2018,"lang":"en","type":"article","venue":"Health Economics Policy and Law","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; University of Toronto","funders":"","keywords":"Framing (construction); Narrative; Salient; Political science; Public relations; Sociology; History; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01882534,0.0009184713,0.001396049,0.002487369,0.01236283,0.008040927,0.007306959,0.04674935,0.01644847],"category_scores_gemma":[0.08962085,0.0006896802,0.001477304,0.003623914,0.02385516,0.01409778,0.006754884,0.04307602,0.002473464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02626423,"about_ca_system_score_gemma":0.03422077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05019037,"about_ca_topic_score_gemma":0.06299746,"domain_scores_codex":[0.9830697,0.008461506,0.0006816254,0.001674007,0.003736403,0.002376831],"domain_scores_gemma":[0.9252177,0.06251267,0.002037516,0.001037311,0.006057766,0.003137004],"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":[0.00003308136,0.000008382397,0.0000742481,0.000553182,0.00001333929,0.0003424982,0.002118127,0.0001104589,0.00002832126,0.08101535,0.9096305,0.006072585],"study_design_scores_gemma":[0.00004323463,0.0000152038,0.0002750873,0.002992401,0.00002436484,0.0002289585,0.003740451,0.0001076342,0.0001096568,0.03566033,0.9567641,0.00003856499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001424389,0.006034487,0.00006024194,0.9785082,0.011395,0.000006568149,0.00002671984,0.000006795619,0.003819573],"genre_scores_gemma":[0.007863564,0.005947964,0.00009905009,0.9632878,0.02013407,0.00002911376,0.00001612449,0.00001674741,0.002605502],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05019037,"threshold_uncertainty_score":0.1905612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07655172619363013,"score_gpt":0.4020003101015043,"score_spread":0.3254485839078742,"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."}}