{"id":"W1978704084","doi":"10.2202/1935-1682.2860","title":"Decomposing the Relationship between Macroeconomic Conditions and Fatal Car Crashes during the Great Recession: Alcohol- and Non-Alcohol-Related Accidents","year":2011,"lang":"en","type":"article","venue":"The B E Journal of Economic Analysis & Policy","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recession; Unemployment; Per capita; Unemployment rate; Mile; Crash; Quarter (Canadian coin); Poison control; Demographic economics; Vehicle miles of travel; Economics; Demography; Forensic engineering; Environmental health; Engineering; Geography; Medicine; Transport engineering; Economic growth; Macroeconomics","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":[0.0008157864,0.0003625909,0.0004961738,0.001260882,0.0002989444,0.0008042441,0.0002835196,0.0004259914,0.002800714],"category_scores_gemma":[0.002695735,0.0002726686,0.0009465975,0.001099929,0.0003301449,0.0004385639,0.00116569,0.0007457496,0.0002549216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008894865,"about_ca_system_score_gemma":0.001024439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09248208,"about_ca_topic_score_gemma":0.08154652,"domain_scores_codex":[0.9995784,0.000105201,0.00003746438,0.00005909244,0.00005674379,0.0001631881],"domain_scores_gemma":[0.9982393,0.000463598,0.0005664121,0.00005893128,0.0002506095,0.0004211607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001763777,0.00005256987,0.9951305,0.00001369467,0.0002148174,0.00006769251,0.00008131085,0.002061203,0.0002325509,0.0001114115,0.0002474864,0.001610483],"study_design_scores_gemma":[0.00000601754,0.00005738132,0.9960654,0.000009192741,0.00007015483,0.00001529399,0.0003800771,0.003116389,0.00005997262,0.00006360152,0.0001514098,0.000004992981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989139,0.0001340994,0.00009847408,0.0001570423,0.000006160091,0.000005732338,0.0003503193,0.000002854297,0.0003314461],"genre_scores_gemma":[0.9991737,0.00009274172,0.0000393327,0.0000169064,0.000007842996,0.000004356899,0.0004808668,0.00000113983,0.0001830621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09248208,"threshold_uncertainty_score":0.1838875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09067398657231138,"score_gpt":0.4091681349686921,"score_spread":0.3184941483963808,"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."}}