{"id":"W2026113532","doi":"10.1049/iet-its.2013.0012","title":"Scene‐based pedestrian safety performance model in mixed traffic situation","year":2014,"lang":"en","type":"article","venue":"IET Intelligent Transport Systems","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National High-tech Research and Development Program; National Natural Science Foundation of China","keywords":"Pedestrian; Computer science; Transport engineering; Pedestrian detection; Engineering","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":[0.0004166772,0.0007846588,0.0003045782,0.0008506832,0.0001686729,0.0004908852,0.0006065762,0.000464691,0.001022262],"category_scores_gemma":[0.0009807224,0.000240411,0.0005706522,0.000358618,0.000256545,0.0004933113,0.0003546758,0.00022434,0.0002938507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006026809,"about_ca_system_score_gemma":0.000440085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009215128,"about_ca_topic_score_gemma":0.004791496,"domain_scores_codex":[0.9997798,0.0000581843,0.000009827481,0.00005389694,0.00005816533,0.00004022241],"domain_scores_gemma":[0.9996117,0.0001227683,0.00007339907,0.00003018204,0.0001350439,0.00002694403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001560339,0.00005520154,0.006167472,0.00002759968,0.00003123072,0.00006421575,0.00004226302,0.9803292,0.00394257,0.0006770426,0.000230751,0.008276399],"study_design_scores_gemma":[0.000001847515,0.00003881042,0.001391419,0.000001535759,0.000007773685,0.00001823037,0.000008781563,0.9978781,0.0004601864,0.00013036,0.00005980821,0.000003182277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7050161,0.0002065044,0.2891053,0.00009733387,0.00002974495,0.00009502339,0.0005008262,0.0006554119,0.004293759],"genre_scores_gemma":[0.9919778,0.00006202554,0.006805082,0.000009127181,0.000004276083,0.00002723291,0.0002154558,0.00001223687,0.0008868203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009215128,"threshold_uncertainty_score":0.01832294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779662929355063,"score_gpt":0.2122710038760574,"score_spread":0.1944743745825068,"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."}}