{"id":"W2905102305","doi":"10.1017/s174413311800049x","title":"Carolyn Hughes Tuohy, Remaking Policy: Scale, Pace and Political Strategy in Health Care Reform. University of Toronto Press, Toronto 2018. p. 717","year":2018,"lang":"en","type":"article","venue":"Health Economics Policy and Law","topic":"History of Science and Medicine","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pace; Politics; Health care reform; Scale (ratio); Public administration; Political science; Health care; Economic history; Sociology; Health policy; Political economy; Law; Economics; Geography; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003187775,0.0001349703,0.0003688008,0.0000352394,0.0005639563,0.0000310815,0.0001123242,0.00006020597,0.00008135808],"category_scores_gemma":[0.00000800109,0.0001340012,0.00002766399,0.00001063705,0.001233076,0.0004832851,0.00005609375,0.0000811305,0.000002275125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001886879,"about_ca_system_score_gemma":0.0009284551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9335227,"about_ca_topic_score_gemma":0.9579116,"domain_scores_codex":[0.9987288,0.00005632688,0.0003239311,0.000272052,0.00005990949,0.0005590032],"domain_scores_gemma":[0.9991632,0.00002672827,0.0001654406,0.000190789,0.00003861043,0.0004152302],"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":[0.00004030309,0.00001925608,0.00005502243,0.0002508184,0.000004959531,4.732729e-7,0.08120806,4.836826e-7,0.000001141826,0.9139986,0.001378472,0.003042402],"study_design_scores_gemma":[0.0005321641,0.0006637552,0.001029425,0.000113838,0.000003606067,0.000005821103,0.04661233,0.00004046713,0.000004527047,0.0009887093,0.9498693,0.0001360898],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1541252,0.02194257,0.000002040332,0.02156896,0.0003087795,0.0005138353,0.0002643663,0.00004536214,0.8012289],"genre_scores_gemma":[0.9851757,0.005866165,0.000054205,0.005537956,0.001182972,0.00000113537,0.000008157273,0.00001152512,0.002162185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9484908,"threshold_uncertainty_score":0.5464411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0338815961036046,"score_gpt":0.2910974345975757,"score_spread":0.2572158384939711,"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."}}