{"id":"W2469252919","doi":"10.5539/ijsp.v5n4p111","title":"The Effect of Age on Road Traffic Fatality Index in Ghana","year":2016,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Road traffic; Demography; Population; Geography; Case fatality rate; Contingency table; Age groups; Transport engineering; Statistics; Environmental health; Medicine; Mathematics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005876737,0.0001924661,0.0002401615,0.0007831305,0.0002035599,0.0004447951,0.0001940038,0.0001765762,0.003193415],"category_scores_gemma":[0.004529758,0.00009460306,0.0003076597,0.001295672,0.0002557225,0.0004215243,0.0003367751,0.0004444431,0.0003991741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006400305,"about_ca_system_score_gemma":0.0004666089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0198367,"about_ca_topic_score_gemma":0.0182447,"domain_scores_codex":[0.9994355,0.0002038457,0.00005668143,0.00008419525,0.00009442162,0.0001252985],"domain_scores_gemma":[0.9967224,0.001031127,0.001433564,0.00009873165,0.0002233765,0.0004907756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000154546,0.00002867409,0.9948519,0.00002081353,0.00002842754,0.0002553063,0.0002600804,0.0001267213,0.00008899348,0.00006587575,0.0003664647,0.003752187],"study_design_scores_gemma":[0.000002678511,0.00008825561,0.9981768,0.00001471081,0.00002182501,0.0002118418,0.0006352759,0.000193762,0.00004788148,0.00004973618,0.0005539067,0.000003314138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954779,0.001411394,0.000179812,0.0003218192,0.000034535,0.000009244985,0.0007589437,0.000009021905,0.001797385],"genre_scores_gemma":[0.9988776,0.0004147972,0.00005458863,0.00001841751,0.00001445163,0.000004729614,0.000265261,0.000003562046,0.0003466041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0198367,"threshold_uncertainty_score":0.03944248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007232577626295833,"score_gpt":0.2410095917044991,"score_spread":0.2337770140782033,"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."}}