{"id":"W3163872217","doi":"10.7916/thejgh.v9i1.4952","title":"Addressing Road Traffic Injuries in Low- and Middle-Income Countries: A Kingdon Policy Analysis","year":2020,"lang":"en","type":"article","venue":"","topic":"Traffic and Road Safety","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster Children's Hospital; McMaster University","funders":"","keywords":"Developing country; Limiting; Economic growth; Case fatality rate; Business; Politics; Political science; Environmental health; Population; Medicine; Economics; Engineering","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":[0.03295456,0.000953932,0.001840265,0.006844332,0.003752532,0.01156149,0.002443768,0.005626799,0.01059941],"category_scores_gemma":[0.0595906,0.0009522847,0.002389741,0.008405665,0.002841026,0.009130524,0.006223236,0.003933962,0.001138608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0345135,"about_ca_system_score_gemma":0.07501624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07888629,"about_ca_topic_score_gemma":0.06780711,"domain_scores_codex":[0.9745536,0.01631896,0.001508191,0.0008831364,0.003271927,0.003464078],"domain_scores_gemma":[0.9494303,0.03262708,0.003313947,0.001378141,0.01112827,0.002122267],"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":[0.001254483,0.0006800422,0.03565954,0.0349343,0.002465358,0.001971733,0.008444558,0.03346742,0.0005610076,0.5283145,0.1263255,0.2259216],"study_design_scores_gemma":[0.0004937685,0.001464809,0.0640519,0.06077176,0.003749863,0.0007994586,0.03910536,0.03943421,0.001672006,0.2288433,0.5590665,0.0005470979],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1885675,0.1840633,0.02768912,0.3905043,0.002639252,0.00404219,0.01061866,0.0003571612,0.1915185],"genre_scores_gemma":[0.7970348,0.1069699,0.03243257,0.03844679,0.0005673026,0.004296572,0.003193726,0.0001325824,0.01692571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07888629,"threshold_uncertainty_score":0.2504141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02211952097806133,"score_gpt":0.2525221409546299,"score_spread":0.2304026199765686,"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."}}