{"id":"W4311783413","doi":"10.5267/j.ijdns.2022.12.002","title":"Relationship between speeding and severe road accidents on the Peruvian Pan American highway","year":2022,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Transport engineering; Logistic regression; Agency (philosophy); Geography; Categorical variable; Logit; Engineering; Computer science; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000420078,0.0001979712,0.0001835786,0.0007464062,0.0003281742,0.0005741349,0.0001838945,0.0002218796,0.002672227],"category_scores_gemma":[0.003466343,0.0001164125,0.0002312991,0.001217353,0.0002138486,0.0004239084,0.0006495561,0.0004519082,0.0001812506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002099972,"about_ca_system_score_gemma":0.000218079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01725222,"about_ca_topic_score_gemma":0.01768684,"domain_scores_codex":[0.99964,0.0001536879,0.00003088325,0.00006572261,0.00005108573,0.00005863736],"domain_scores_gemma":[0.9977282,0.0005658409,0.001011718,0.0001191899,0.0004325554,0.0001424996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002560556,0.00003287415,0.9957173,0.00002315808,0.00005890922,0.00010811,0.000392377,0.0001231906,0.00009204058,0.0001645004,0.0002792504,0.00298258],"study_design_scores_gemma":[0.000001061566,0.00003787058,0.9980187,0.0000131663,0.00002296559,0.00009968979,0.0009015254,0.0002323226,0.00002092192,0.00006625027,0.0005818114,0.000003680007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978604,0.0001991343,0.00009198612,0.0001136789,0.000003957366,0.000005814372,0.0002766528,0.000004738479,0.001443752],"genre_scores_gemma":[0.9990762,0.0002213505,0.00007042025,0.00001250942,0.000007014174,0.000004817972,0.0003310273,0.000001573699,0.0002749751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01725222,"threshold_uncertainty_score":0.03430355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04613983716891395,"score_gpt":0.295790664166504,"score_spread":0.24965082699759,"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."}}