{"id":"W4406671407","doi":"10.3390/wevj16020059","title":"Systematic Evaluation of a Connected Vehicle-Enabled Freeway Incident Management System","year":2025,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Transport engineering; Automotive engineering; Computer science; Business; 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":[0.002201232,0.0006091009,0.0004138898,0.000803732,0.0003965808,0.0006407415,0.0006702534,0.0003817598,0.001074036],"category_scores_gemma":[0.004961242,0.0002009582,0.000367022,0.0004028791,0.0002917962,0.0007557746,0.0004451473,0.0002526457,0.0001479143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001884623,"about_ca_system_score_gemma":0.001894407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007835237,"about_ca_topic_score_gemma":0.008322242,"domain_scores_codex":[0.9981599,0.0009026333,0.0001249227,0.0001702964,0.0005180442,0.0001240938],"domain_scores_gemma":[0.9956474,0.001298555,0.0003170537,0.0002658672,0.002294981,0.0001761749],"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":[0.005303326,0.007990841,0.05572718,0.004206262,0.0006292717,0.0004679718,0.001024421,0.5239995,0.07493066,0.002569661,0.002742835,0.3204081],"study_design_scores_gemma":[0.0009540885,0.04060015,0.07147234,0.0002190839,0.0006983327,0.0001827251,0.00210809,0.7913113,0.08573157,0.0007536029,0.005840831,0.0001278693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852528,0.0001370443,0.01027607,0.00003843676,0.00002682738,0.001117472,0.0001996489,0.0001965727,0.002755194],"genre_scores_gemma":[0.9924673,0.00008366087,0.00650662,0.00001324971,0.000004921981,0.000166601,0.0002029493,0.000009709455,0.0005449171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007835237,"threshold_uncertainty_score":0.01557928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006083111390997844,"score_gpt":0.2116212271244372,"score_spread":0.2055381157334393,"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."}}