{"id":"W595393730","doi":"","title":"Empirical Evidence on the Existence of Collateral Anomaly","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Dimension (graph theory); Field (mathematics); Collateral; Work (physics); Order (exchange); Collision; Anomaly (physics); Simulation; Engineering; Computer security; Economics; Physics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003570814,0.000195398,0.0002690043,0.001932877,0.0005010412,0.0008536633,0.0008054936,0.0006882417,0.009248659],"category_scores_gemma":[0.04159441,0.000217549,0.000229503,0.002065931,0.002223257,0.001796319,0.001170798,0.001037208,0.0006821575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003994429,"about_ca_system_score_gemma":0.0005160833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002985509,"about_ca_topic_score_gemma":0.003107305,"domain_scores_codex":[0.9980202,0.0006278333,0.0001967079,0.0004986097,0.0005109392,0.0001457862],"domain_scores_gemma":[0.8849973,0.06514589,0.02943014,0.009029661,0.009622701,0.001774213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001054474,0.00007442305,0.9853711,0.0000442199,0.00004105726,0.0001430595,0.0009363956,0.0002548648,0.0001959633,0.003706645,0.0004921121,0.008634835],"study_design_scores_gemma":[0.000009924338,0.0001502545,0.9847546,0.00008165699,0.00004533887,0.0007039488,0.00303847,0.002235656,0.0003164504,0.005066148,0.003577544,0.00002012812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873051,0.0003036114,0.002262419,0.0007017943,0.00001473241,0.00001979957,0.0003596613,0.00001727407,0.009015721],"genre_scores_gemma":[0.9991282,0.0001385939,0.0002656861,0.00002978659,0.00001011638,0.00000571492,0.0001879616,0.00000419666,0.0002297082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009248659,"threshold_uncertainty_score":0.03093982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1120421375586399,"score_gpt":0.3621911204796671,"score_spread":0.2501489829210271,"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."}}