{"id":"W2750936039","doi":"10.3386/w23791","title":"The Accident Externality from Trucking","year":2017,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Traffic and Road Safety","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Energy Technology Laboratory; Sid W. Richardson Foundation; Smith Richardson Foundation","keywords":"Externality; Accident (philosophy); Transport engineering; Business; Economics; Microeconomics; 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":[0.0009399362,0.0004409449,0.0004172722,0.001861015,0.0005504529,0.001158055,0.0004817884,0.0007256513,0.02618615],"category_scores_gemma":[0.007127888,0.0002797017,0.001582848,0.00166042,0.0004978746,0.0008232779,0.002663737,0.001501038,0.002399189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001087275,"about_ca_system_score_gemma":0.001563521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03210051,"about_ca_topic_score_gemma":0.0346166,"domain_scores_codex":[0.9977005,0.0004593822,0.0001969377,0.0002958051,0.0007940699,0.0005532959],"domain_scores_gemma":[0.9932693,0.001473988,0.002479252,0.0006406392,0.001354973,0.0007819532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002511584,0.0002906382,0.9122211,0.0002052607,0.00062815,0.0007073276,0.0002818364,0.008260393,0.0005183389,0.01798942,0.02990627,0.02874017],"study_design_scores_gemma":[0.00003700114,0.0002413535,0.9324933,0.0001692791,0.0004864142,0.001204814,0.0008738076,0.003031794,0.0009342569,0.007639883,0.05282538,0.00006268708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7498479,0.001643113,0.006417542,0.00580819,0.0003448801,0.0003500325,0.02774879,0.0004178408,0.2074217],"genre_scores_gemma":[0.9464186,0.001387017,0.0005889184,0.0007899731,0.0002375217,0.0001094777,0.01534619,0.00005040455,0.03507191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03210051,"threshold_uncertainty_score":0.08760136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.357765075231907,"score_gpt":0.5115233443084339,"score_spread":0.1537582690765269,"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."}}