{"id":"W840370283","doi":"","title":"EMERGENCY TRAFFIC MANAGEMENT","year":2003,"lang":"en","type":"article","venue":"","topic":"Transportation Safety and Impact Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Crash; Emergency management; Truck; Control (management); Transport engineering; Incident management; Engineering; Medical emergency; Computer science; Computer security; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002805479,0.00004392457,0.00004147251,0.00004028741,0.00001468791,0.000002700442,0.00002575794,0.00001250908,0.004913386],"category_scores_gemma":[5.150722e-7,0.00004095776,0.00004109428,0.0001645627,0.000001914121,0.00004826718,3.193274e-7,0.00001973494,0.0001973794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005637028,"about_ca_system_score_gemma":6.795133e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.234549e-7,"about_ca_topic_score_gemma":0.00001044726,"domain_scores_codex":[0.9997326,0.000003006284,0.00009267864,0.00003961709,0.00005063238,0.00008150735],"domain_scores_gemma":[0.9998914,0.000001391994,0.000003251172,0.000068615,0.00000447193,0.00003085676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002297294,0.00004942744,0.001694535,0.0001076726,0.0004535584,0.00001072317,0.0005312775,0.8694263,0.0002984998,0.07474267,0.02190093,0.03078212],"study_design_scores_gemma":[0.001264164,0.00003687988,0.1185334,0.00001511648,0.0003949309,0.000004691766,0.002163802,0.03838604,0.00465017,0.001624439,0.8317707,0.001155731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1862756,0.0003133592,0.1020106,0.0000343104,0.0003055634,0.00006713157,0.000001669032,0.0005136211,0.7104781],"genre_scores_gemma":[0.9956062,0.0003962638,0.001205698,0.0000113646,0.000004685932,0.0000028833,0.000003155896,0.00000656602,0.002763207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8310403,"threshold_uncertainty_score":0.9959962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007351703336949927,"score_gpt":0.2047646954481458,"score_spread":0.1974129921111958,"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."}}