{"id":"W2484191666","doi":"","title":"Justifying Road Safety Investments for Locations without Collisions by Quantifying Road Safety Risk","year":2016,"lang":"en","type":"article","venue":"Routes/Roads","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; General partnership; Investment (military); Business; Occupational safety and health; Collision; Finance; Engineering; Computer security; Computer science; Political science","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":[0.004410972,0.0012297,0.0005829131,0.004197581,0.0007502947,0.003121815,0.001195828,0.001540315,0.006125431],"category_scores_gemma":[0.03482029,0.0004813801,0.0006494769,0.003268648,0.0007636892,0.003705457,0.001568287,0.001074295,0.000735014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005136856,"about_ca_system_score_gemma":0.008069648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06071047,"about_ca_topic_score_gemma":0.1304453,"domain_scores_codex":[0.9938056,0.003154307,0.0002744051,0.0004078695,0.00183134,0.0005264995],"domain_scores_gemma":[0.9828319,0.009504819,0.002545075,0.001054239,0.003427227,0.0006366597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004592488,0.000508943,0.2249995,0.0005205207,0.0003812577,0.0003537603,0.0006291717,0.4974488,0.002490591,0.07143762,0.006738425,0.1940323],"study_design_scores_gemma":[0.00007909295,0.001203667,0.1384506,0.0005325662,0.0004646961,0.0002605085,0.004332399,0.7571514,0.004612279,0.07833562,0.01434167,0.000235525],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7361563,0.001876496,0.174575,0.006158787,0.0001477157,0.001120102,0.004642297,0.0007200743,0.07460329],"genre_scores_gemma":[0.9612235,0.0005277716,0.03558144,0.00005415122,0.00001642594,0.000104205,0.0006390006,0.0000348762,0.001818685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06071047,"threshold_uncertainty_score":0.1207142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335286153089847,"score_gpt":0.2627886293103546,"score_spread":0.2394357677794561,"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."}}