{"id":"W2067789220","doi":"10.6000/1927-5129.2013.09.67","title":"Spatial Framework for the Assessment of Road Traffic Accidents in Karachi","year":2013,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Traffic and Road Safety","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Road traffic; Geography; Socioeconomics; Stratified sampling; Road traffic accident; Environmental health; Demography; Transport engineering; Medicine; Engineering; Sociology","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":[0.001395377,0.0005087871,0.0005158116,0.00771235,0.00104144,0.003024191,0.001012709,0.0004959662,0.004529965],"category_scores_gemma":[0.005629611,0.0003273745,0.0008429362,0.006458681,0.0009924661,0.001029709,0.002947526,0.0005197278,0.0004320226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002161189,"about_ca_system_score_gemma":0.003927531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.104179,"about_ca_topic_score_gemma":0.08355329,"domain_scores_codex":[0.9984736,0.0006836289,0.0001607628,0.0002021345,0.0003257303,0.0001540795],"domain_scores_gemma":[0.9980444,0.0007559618,0.0002744584,0.00008755851,0.0007136181,0.0001239882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002972875,0.0003525797,0.6027116,0.001104834,0.0006219785,0.002338013,0.0109771,0.1262737,0.002299185,0.06055068,0.006462342,0.1860107],"study_design_scores_gemma":[0.00004684688,0.0004456019,0.5138367,0.0005420705,0.0003699409,0.001416423,0.07120004,0.3482587,0.00102338,0.02937036,0.03326022,0.0002296244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7091478,0.002225797,0.2388668,0.001467918,0.0001179231,0.002150227,0.01555488,0.0006303938,0.02983828],"genre_scores_gemma":[0.9366345,0.0005793422,0.05833128,0.00002860788,0.0000202583,0.0007037183,0.002402198,0.0000182241,0.001281967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.104179,"threshold_uncertainty_score":0.2071452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519559582917476,"score_gpt":0.2741023153358998,"score_spread":0.2589067195067251,"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."}}