{"id":"W4282925342","doi":"10.3390/app12126040","title":"Evaluation of Urban Traffic Accidents Based on Pedestrian Landing Injury Risks","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic and Road Safety","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Science Foundation of Shandong Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Pedestrian; Neck injury; Collision; Head and neck; Engineering; Poison control; Transport engineering; Medicine; Surgery; Computer science; Emergency 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":[0.0006379231,0.0007256413,0.0003361678,0.002956705,0.0002102719,0.000654251,0.0003010916,0.0003165148,0.001212426],"category_scores_gemma":[0.002078702,0.0002083826,0.0004692612,0.001017087,0.0002287766,0.0004456826,0.0005407863,0.0001552482,0.0003219555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003642696,"about_ca_system_score_gemma":0.0002555645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003391396,"about_ca_topic_score_gemma":0.004952035,"domain_scores_codex":[0.9992855,0.0001529329,0.00007597147,0.00009382619,0.0003054513,0.00008633426],"domain_scores_gemma":[0.9987887,0.0003125302,0.0004028785,0.00005964095,0.0003284478,0.0001077347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005090876,0.0001895059,0.8927243,0.0001172679,0.000216949,0.0003891238,0.0002313069,0.08011077,0.003526941,0.0004323382,0.0003681225,0.02118423],"study_design_scores_gemma":[0.00001116756,0.001044863,0.8370335,0.00003951769,0.0001999666,0.0005278914,0.001679319,0.1541892,0.004027053,0.000504274,0.0006894082,0.00005388776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951697,0.000112822,0.003014117,0.00001096732,0.00000671625,0.00004542231,0.0004111243,0.00005185619,0.001177358],"genre_scores_gemma":[0.9985698,0.00008679521,0.0006922727,0.000002413152,0.000002952961,0.00001639531,0.0003900399,0.000004494585,0.0002347708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003391396,"threshold_uncertainty_score":0.006743312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05935124287344308,"score_gpt":0.2995137798303392,"score_spread":0.2401625369568962,"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."}}