{"id":"W4403808326","doi":"10.1155/2024/5564381","title":"The “Visual‐Behavior” Chain and Risk Prediction Model for Sedan Drivers Under the Influence of Container Trucks: A Case Study of Yangshan Port Freight Corridor","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Truck; Container (type theory); Port (circuit theory); Transport engineering; Computer science; Engineering; Automotive 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008194607,0.0008451874,0.0003588967,0.00082979,0.0006095233,0.000785578,0.0009033757,0.000802804,0.001696381],"category_scores_gemma":[0.001309437,0.0003758848,0.000858159,0.0004378773,0.0003416997,0.0007378205,0.0006626251,0.0008470502,0.0002212959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001417675,"about_ca_system_score_gemma":0.001156736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0767452,"about_ca_topic_score_gemma":0.04941608,"domain_scores_codex":[0.9997463,0.00007144114,0.00001514888,0.00007052886,0.00002835306,0.00006829722],"domain_scores_gemma":[0.9993312,0.0003631731,0.00008052895,0.00002984045,0.0001434728,0.00005176033],"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":[0.0005240621,0.001060907,0.2378635,0.0001182857,0.00022694,0.002810401,0.001168566,0.7245115,0.003716811,0.002838456,0.000829998,0.02433053],"study_design_scores_gemma":[0.000007544309,0.000099582,0.01171229,0.000004762559,0.00002658894,0.00004409415,0.0003123666,0.9870508,0.0002968666,0.0003185299,0.0001125792,0.00001410743],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932975,0.00003566304,0.005885137,0.00009345057,0.000005706625,0.00003157588,0.0001053272,0.00003698127,0.0005086509],"genre_scores_gemma":[0.9977002,0.00004940118,0.001229046,0.000005806706,0.000003520968,0.00003677613,0.0001595893,0.000003343411,0.0008122541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0767452,"threshold_uncertainty_score":0.152597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007367723148889965,"score_gpt":0.245006557549613,"score_spread":0.237638834400723,"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."}}