{"id":"W2134740088","doi":"10.1155/2012/264295","title":"Research on the Behavior Characteristics of Pedestrian Crowd Weaving Flow in Transport Terminal","year":2012,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"National Key Research and Development Program of China; Beijing Municipal Natural Science Foundation; National Natural Science Foundation of China","keywords":"Weaving; Pedestrian; Stairs; Terminal (telecommunication); Transport engineering; Computer science; GRASP; Engineering; Simulation; Architectural engineering; Civil engineering; Telecommunications; Mechanical 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":[0.000323538,0.0002004551,0.0002121793,0.0009323632,0.0003714927,0.0003527492,0.0002357336,0.000246189,0.0004905431],"category_scores_gemma":[0.001526632,0.0001085502,0.0002313072,0.0006806646,0.0002651532,0.0007248361,0.0002220619,0.0001977738,0.00006104185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004088158,"about_ca_system_score_gemma":0.0002623269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005027925,"about_ca_topic_score_gemma":0.003187309,"domain_scores_codex":[0.9998109,0.00004539736,0.00001058365,0.0000527477,0.00004298549,0.00003731305],"domain_scores_gemma":[0.9994354,0.0001942899,0.0001312971,0.00002552706,0.0001550062,0.00005845525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000363146,0.0003311809,0.6762224,0.0004196684,0.0001548808,0.00174644,0.004881649,0.1555354,0.04776502,0.01535227,0.001852962,0.09537502],"study_design_scores_gemma":[0.000009223311,0.000242716,0.4352823,0.00003999437,0.00007579139,0.0006390522,0.00400515,0.545223,0.008597875,0.003940501,0.001864869,0.00007943719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889317,0.0001098348,0.009630349,0.00005342064,0.000005612566,0.0000122044,0.00005510094,0.00001882724,0.001182924],"genre_scores_gemma":[0.9986081,0.0000949319,0.0009072705,0.000003609859,0.000003588126,0.000005692699,0.00005399645,0.000001845322,0.0003210069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005027925,"threshold_uncertainty_score":0.009997308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04835567970022424,"score_gpt":0.2952443500170289,"score_spread":0.2468886703168046,"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."}}