{"id":"W4408904924","doi":"10.1080/03081060.2025.2480692","title":"Quantifying emergency response system risk caused by grade crossing blockages","year":2025,"lang":"en","type":"article","venue":"Transportation Planning and Technology","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Mitacs; University of Manitoba","keywords":"Emergency response; Level crossing; Transport engineering; Poison control; Engineering; Environmental science; Computer science; Risk analysis (engineering); Medical emergency; Business; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001305925,0.0001397573,0.0001650406,0.0002997436,0.000276135,0.00002633712,0.00007419241,0.0001829427,0.000002029393],"category_scores_gemma":[0.00001803071,0.0001433427,0.00002186669,0.0003745214,0.00005770183,0.00006099632,0.000002567252,0.0002571993,0.000001044597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000303297,"about_ca_system_score_gemma":0.0000129504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002083064,"about_ca_topic_score_gemma":0.00001253435,"domain_scores_codex":[0.9992708,0.00001489457,0.000256426,0.0001743194,0.00005710374,0.0002264489],"domain_scores_gemma":[0.999745,0.00003397591,0.00004606857,0.0001216862,0.00003025467,0.00002301083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009823103,0.00001183071,0.7420044,0.0006441893,0.0001907415,0.00008826959,0.002694486,0.0116887,0.2295512,0.003556859,0.001989162,0.007481916],"study_design_scores_gemma":[0.00225427,0.0001218358,0.6596696,0.001591654,0.0003232473,0.00002242259,0.01149502,0.0159787,0.2871723,0.001173156,0.01912054,0.001077222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737592,0.002294671,0.02203668,0.00007751315,0.0005612135,0.00008133977,0.00003151408,0.001076085,0.00008174581],"genre_scores_gemma":[0.99929,0.00006662439,0.0004991969,0.000002992226,0.00001589186,0.00001789876,0.00001871286,0.00001672807,0.00007194984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08233479,"threshold_uncertainty_score":0.5845345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008397392064182068,"score_gpt":0.2539094855262507,"score_spread":0.2455120934620686,"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."}}