{"id":"W2509310190","doi":"10.1049/iet-its.2016.0090","title":"Automated analysis of pedestrian walking behaviour at a signalised intersection in China","year":2016,"lang":"en","type":"article","venue":"IET Intelligent Transport Systems","topic":"Traffic and Road Safety","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pedestrian; Intersection (aeronautics); Transport engineering; China; Computer science; Engineering; Geography","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":[0.0003675058,0.0005316617,0.000556192,0.002666178,0.0004917458,0.000366832,0.0005302151,0.0003422773,0.0004344085],"category_scores_gemma":[0.0005442005,0.0001840438,0.0003960008,0.002522497,0.0002373167,0.000220864,0.000363236,0.0001367833,0.0002042623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009688063,"about_ca_system_score_gemma":0.0008854939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07808451,"about_ca_topic_score_gemma":0.0942552,"domain_scores_codex":[0.9996064,0.00005396772,0.00002949627,0.0001173705,0.000116007,0.00007658928],"domain_scores_gemma":[0.9994749,0.0000548901,0.0001132657,0.00005806879,0.0002164787,0.00008230382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003762637,0.0003042729,0.8709074,0.0001042451,0.0001555794,0.0007946988,0.0008650397,0.01398103,0.02764421,0.0001412129,0.0008361826,0.08388989],"study_design_scores_gemma":[0.000007588023,0.00009845948,0.961598,0.000003153685,0.00002887543,0.00006779701,0.0002465511,0.03588687,0.001789709,0.00003350066,0.0002222489,0.00001711253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987504,0.00001103472,0.0007563437,0.000004569209,0.000001452331,0.00001052219,0.0002302289,0.00004280041,0.0001926462],"genre_scores_gemma":[0.9973202,0.00001682305,0.001261906,0.000003437204,0.000002209267,0.00001436595,0.001067291,0.000005189998,0.0003085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07808451,"threshold_uncertainty_score":0.15526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102282316647996,"score_gpt":0.2188520013481297,"score_spread":0.2086237696833301,"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."}}