{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008441309,0.00008731231,0.0002281082,0.00006492968,0.0002086364,0.00001355097,0.00004660453,0.00005723061,0.00001380423],"category_scores_gemma":[0.0001443977,0.00005478314,0.00001824856,0.0001642373,0.00006785605,0.00006658377,0.000009895986,0.0003219713,0.000001217923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002593947,"about_ca_system_score_gemma":0.0005084946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03134665,"about_ca_topic_score_gemma":0.001369689,"domain_scores_codex":[0.9988465,0.0002110111,0.0002987282,0.0001635631,0.0001749323,0.000305262],"domain_scores_gemma":[0.9993126,0.0003536388,0.0001079734,0.0001090479,0.00001387527,0.0001028605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006802867,0.00003881766,0.9618565,0.00003394192,0.000002970931,0.0000104973,0.006991235,0.000007297364,0.00002685263,0.003440574,0.0001827382,0.02734049],"study_design_scores_gemma":[0.002078896,0.00009084203,0.9938397,0.001297754,0.000002523205,0.00002502503,0.0006685864,0.00006133131,0.000003723561,0.0006466025,0.00122958,0.0000554785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9177889,0.0003560118,0.0003131206,0.08093017,0.00007292696,0.0002549038,0.0001031076,0.00001929988,0.00016159],"genre_scores_gemma":[0.9818354,0.00005599288,0.00007636321,0.01758617,0.0003638059,0.00001621364,0.00005762813,0.000005311786,0.000003097645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06404655,"threshold_uncertainty_score":0.9751037,"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."}}