{"id":"W3000412955","doi":"10.1155/2020/2675197","title":"Analysis on Illegal Crossing Behavior of Pedestrians at Signalized Intersections Based on Bayesian Network","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic and Road Safety","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Education of Guangdong Province; Natural Science Foundation of Guangdong Province","keywords":"Schema crosswalk; Transport engineering; Intersection (aeronautics); Computer science; Level crossing; Pedestrian crossing; Geography; Pedestrian; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007246714,0.0001251265,0.0003133514,0.0001495052,0.00008756441,0.00001177845,0.00006974002,0.0000579206,0.00008454256],"category_scores_gemma":[0.000008176061,0.0001148579,0.0003304341,0.000542751,0.00002863756,0.0001265817,5.480509e-7,0.0002075215,0.000001087209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006719167,"about_ca_system_score_gemma":0.00002939466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000344368,"about_ca_topic_score_gemma":0.0001292207,"domain_scores_codex":[0.9989714,0.00002093115,0.0005484165,0.00009895887,0.0002332799,0.0001269849],"domain_scores_gemma":[0.9994714,0.00005898794,0.0002181368,0.00007331837,0.00007236006,0.0001058022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0007775,0.00004941813,0.007271116,0.00002308173,0.0001491978,0.00002800918,0.0009827008,0.9854839,0.003078709,0.000009216912,0.00003356393,0.002113571],"study_design_scores_gemma":[0.003675453,0.001110947,0.8801506,0.000216961,0.001857336,0.000003370469,0.0005536859,0.1069174,0.004315975,0.00001086925,0.0008701971,0.0003171576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.821804,0.0000394073,0.1775302,0.0001023684,0.0002658483,0.00008531524,0.00002825735,0.00004460547,0.00009993489],"genre_scores_gemma":[0.9970371,0.00001633922,0.002711181,0.00005327581,0.0001201487,0.000002581879,0.00003340258,0.00002026645,0.000005776735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8785664,"threshold_uncertainty_score":0.4683767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00907384420347284,"score_gpt":0.2351363839956948,"score_spread":0.2260625397922219,"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."}}