{"id":"W2460791610","doi":"10.1093/heapol/czw094","title":"Navigating institutional complexity in the health sector: lessons from tobacco control in Kenya","year":2016,"lang":"en","type":"article","venue":"Health Policy and Planning","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute on Drug Abuse","keywords":"Tobacco control; Legislation; Tobacco industry; Government (linguistics); Mandate; Public administration; Business; Political science; Public relations; Economic growth; Public health; Medicine; Economics","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":[0.007511118,0.0003702706,0.0003712929,0.001214153,0.02112583,0.007914675,0.00156789,0.002478718,0.005266782],"category_scores_gemma":[0.005004449,0.0005700369,0.0003404826,0.001663425,0.01560096,0.007263121,0.007521017,0.003467544,0.0003118847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.023919,"about_ca_system_score_gemma":0.03558656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1140397,"about_ca_topic_score_gemma":0.2890334,"domain_scores_codex":[0.9946476,0.003046311,0.0001486427,0.000233028,0.0004050217,0.001519392],"domain_scores_gemma":[0.9951184,0.002675381,0.0007053071,0.0001546257,0.0003779812,0.0009683758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008716624,0.0002200347,0.03769367,0.001454783,0.00003541936,0.006922928,0.8093932,0.0008121778,0.001671891,0.08324564,0.006926985,0.05153613],"study_design_scores_gemma":[0.00002905025,0.000111368,0.03373426,0.002952438,0.00002903605,0.0007851865,0.8387154,0.0003362676,0.0007352168,0.009959938,0.1125404,0.00007153893],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8122694,0.0146832,0.002891777,0.08565459,0.0002666627,0.000386168,0.0001522404,0.00002337877,0.08367258],"genre_scores_gemma":[0.9876171,0.005513333,0.001011453,0.002790248,0.0000285903,0.00007935573,0.00004451088,0.00001143769,0.002904038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1140397,"threshold_uncertainty_score":0.2267517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1835047559280299,"score_gpt":0.458679398005523,"score_spread":0.2751746420774931,"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."}}