{"id":"W4416918403","doi":"10.3390/infrastructures10120330","title":"Conflict Risk Assessment Between Pedestrians and Right-Turn Vehicles: A Trajectory-Based Analysis of Front and Rear Wheel Dynamics","year":2025,"lang":"en","type":"article","venue":"Infrastructures","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Trajectory; Collision; Pedestrian; Traffic conflict; Risk assessment; Work (physics); Partition (number theory); Risk management; Front (military)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001100865,0.0001852466,0.0004300431,0.0003166728,0.00008035819,0.00003444957,0.00009986822,0.0001463021,0.00003893753],"category_scores_gemma":[0.00001534036,0.0001558343,0.00008920842,0.000265498,0.0001110709,0.00004648616,0.00002318677,0.0002371001,1.968203e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006494896,"about_ca_system_score_gemma":0.00004740802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002304929,"about_ca_topic_score_gemma":0.0004609861,"domain_scores_codex":[0.999161,0.00004502654,0.0002956988,0.0002006253,0.000127326,0.0001703361],"domain_scores_gemma":[0.9994532,0.0001668997,0.00006752635,0.0002102764,0.00003169115,0.00007039613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002031359,0.00001062643,0.8265332,0.00013715,0.001903984,0.000003193803,0.0004787293,0.1543872,0.0002555793,0.0004591444,0.0003662054,0.01544468],"study_design_scores_gemma":[0.0004659576,0.00002279922,0.8201424,0.00002225293,0.0009513032,3.089657e-7,0.000103875,0.177446,0.0001594824,0.0002217138,0.0003431027,0.0001208211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586566,0.0004483874,0.03884631,0.00003635882,0.00008623464,0.0001288027,0.000536371,0.0001133539,0.00114757],"genre_scores_gemma":[0.9952865,0.000113051,0.004461533,0.00001901787,0.00002476779,0.000004317485,0.0000596609,0.00001336004,0.00001777858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0366299,"threshold_uncertainty_score":0.6354738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003818692524666668,"score_gpt":0.2303979645602809,"score_spread":0.2265792720356142,"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."}}