{"id":"W4312888502","doi":"10.1109/access.2022.3220321","title":"Pedestrian Traffic Characterization Based on Pedestrian Response","year":2022,"lang":"en","type":"article","venue":"IEEE Access","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Pedestrian; Simulation; Computer science; Emergency response; Transport engineering; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002784836,0.0001207531,0.0001035939,0.0001936469,0.0001745214,0.0001188648,0.0002973873,0.00003999094,0.0005119058],"category_scores_gemma":[0.00003095872,0.0001411235,0.00004631513,0.0003880654,0.00001002842,0.0001808588,0.00001761952,0.0001932486,0.00004191796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001443496,"about_ca_system_score_gemma":0.00005944139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002952295,"about_ca_topic_score_gemma":0.000009061364,"domain_scores_codex":[0.9991197,0.0001230383,0.0001821139,0.0001548193,0.0002500354,0.0001703174],"domain_scores_gemma":[0.999547,0.00009112694,0.00003932961,0.0002392768,0.00001894486,0.00006431546],"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":[0.0003250692,0.00005936428,0.000362818,0.00002371441,0.000007786977,0.00001524737,0.0001265077,0.9841425,0.008591824,0.00002222995,0.0007484339,0.005574473],"study_design_scores_gemma":[0.0007833407,0.00008512026,0.01648688,0.000007635173,0.00001049759,0.000003281804,0.00003463476,0.9659118,0.001092842,0.00001121827,0.01533958,0.0002331874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892579,0.000005689152,0.007901777,0.0004130473,0.0009332566,0.0001905046,0.00007775504,0.0004158804,0.0008041672],"genre_scores_gemma":[0.9989149,0.000005138167,0.0000227439,0.0004247132,0.00008754993,0.00007998959,0.0001648078,0.00003988952,0.0002602976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01823075,"threshold_uncertainty_score":0.5754849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02108455368379627,"score_gpt":0.2617927291378744,"score_spread":0.2407081754540782,"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."}}