{"id":"W3135044340","doi":"10.1215/03616878-8893543","title":"Negotiating Change: Ideas, Institutions, and Political Actors in Tobacco Control Policy Making in Mauritius","year":2021,"lang":"en","type":"article","venue":"Journal of Health Politics Policy and Law","topic":"Economic Zones and Regional Development","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Tobacco control; Negotiation; Context (archaeology); Government (linguistics); Politics; Civil society; Public policy; Public administration; Convention; Political science; Sociology; Economic growth; Public health; Social science; Economics; Law; Medicine; Geography","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":[0.006034003,0.0002097471,0.0002143849,0.001818983,0.006772595,0.007308934,0.0008603517,0.002008562,0.002815483],"category_scores_gemma":[0.006449777,0.000264419,0.0002333847,0.002399515,0.0226283,0.003601216,0.005266842,0.002029243,0.0001610062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01856697,"about_ca_system_score_gemma":0.009338317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03650202,"about_ca_topic_score_gemma":0.02867597,"domain_scores_codex":[0.9961286,0.002426777,0.0001260087,0.0002565157,0.0002872725,0.0007748609],"domain_scores_gemma":[0.9964373,0.002240341,0.0007479895,0.0001187745,0.0001401772,0.0003154093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004630443,0.00004172717,0.02477643,0.0002414907,0.00002775285,0.001442768,0.4582037,0.0007678116,0.0007211003,0.4895376,0.001295828,0.02289765],"study_design_scores_gemma":[0.00002941311,0.00007795577,0.105852,0.001547089,0.00005124335,0.0005244378,0.5555957,0.00190806,0.0008611574,0.1707873,0.1626839,0.00008170286],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8146422,0.01276146,0.003049726,0.05057502,0.0001102019,0.0001074039,0.00005432879,0.00001683297,0.1186829],"genre_scores_gemma":[0.9972785,0.001033069,0.0002397682,0.0003598454,0.00001360334,0.00001610792,0.000005839659,0.000002329031,0.001050987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03650202,"threshold_uncertainty_score":0.1347135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08307443855877744,"score_gpt":0.3432788091007394,"score_spread":0.2602043705419619,"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."}}