{"id":"W2942985533","doi":"10.3390/ijerph16091542","title":"Risk Factors Affecting Traffic Accidents at Urban Weaving Sections: Evidence from China","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Traffic and Road Safety","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Science Basic Research Program of Shaanxi Province; Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Weaving; Rollover (web design); Transport engineering; Multinomial logistic regression; Poison control; Collision; China; Engineering; Geography; Computer science; Computer security; Environmental health; Statistics; Mathematics; Medicine","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":[0.000842609,0.0004523508,0.0003297183,0.001545522,0.0008520107,0.0005870993,0.0005153585,0.0002726353,0.001257505],"category_scores_gemma":[0.00138394,0.0004192527,0.001018786,0.00218569,0.0005682478,0.0004189392,0.0007604492,0.0003613659,0.0001249403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009665329,"about_ca_system_score_gemma":0.001615584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1207328,"about_ca_topic_score_gemma":0.1551645,"domain_scores_codex":[0.9994481,0.000100745,0.00007954641,0.0001535604,0.00009552929,0.0001224526],"domain_scores_gemma":[0.9984352,0.0002233267,0.0006463855,0.0001671501,0.0002859278,0.0002420541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001421181,0.00001879053,0.9974769,0.00001977012,0.00005844964,0.0001068273,0.0002825751,0.0001028589,0.00009728529,0.00004828305,0.00009019498,0.00168392],"study_design_scores_gemma":[0.000001387851,0.00001475884,0.9990283,0.00000773091,0.00003216138,0.00005617717,0.0003748419,0.0002870857,0.00003172083,0.00002000031,0.0001420471,0.000003795206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991911,0.0001827914,0.0001127646,0.00005751452,0.000003640018,0.000005383934,0.0001535232,0.000003019921,0.0002901524],"genre_scores_gemma":[0.9993095,0.0002410428,0.00004519869,0.00001472433,0.000004148133,0.000004993855,0.0002173687,0.000001243568,0.0001617257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1207328,"threshold_uncertainty_score":0.2400602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03645319376442967,"score_gpt":0.3193577365710366,"score_spread":0.2829045428066069,"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."}}