{"id":"W4388331246","doi":"10.2139/ssrn.4623376","title":"Traffic Fatalities and Population Density","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Geography; Population density; Population; Demography; Sociology","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":[0.0007255587,0.0002619457,0.0003404006,0.002199976,0.0003076196,0.001334369,0.0003550605,0.0008376289,0.01395536],"category_scores_gemma":[0.007656826,0.0002777273,0.000548708,0.002523631,0.0005113783,0.0008744827,0.0006432334,0.0008953238,0.001608162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009628398,"about_ca_system_score_gemma":0.0005284081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03243781,"about_ca_topic_score_gemma":0.02755409,"domain_scores_codex":[0.9994363,0.0001914312,0.00003019707,0.00009340811,0.000094687,0.0001539497],"domain_scores_gemma":[0.993594,0.003119628,0.001574199,0.0002483495,0.0008270419,0.0006368494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003185472,0.0001356602,0.9425034,0.0000826074,0.0003744476,0.0002956849,0.0004025362,0.02011306,0.0001283217,0.01219085,0.009192094,0.01426281],"study_design_scores_gemma":[0.00002645452,0.0001387975,0.933633,0.0001240049,0.0002259731,0.0004433462,0.002935657,0.03521721,0.0002699151,0.01858217,0.00834394,0.00005939843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518802,0.003735014,0.002485203,0.00412909,0.000208788,0.00002265809,0.007413858,0.00008812002,0.03003713],"genre_scores_gemma":[0.9910997,0.001156463,0.0001074413,0.00006336228,0.0001114489,0.000009273294,0.001485423,0.00001384144,0.005953179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03243781,"threshold_uncertainty_score":0.06449801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523595874716499,"score_gpt":0.2400958259024084,"score_spread":0.2248598671552434,"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."}}