{"id":"W4360592146","doi":"10.5267/j.dsl.2022.12.003","title":"The effect of road types on severe road accidents in Peru","year":2023,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Road traffic; Quality (philosophy); Logistic regression; Business; Logit; Road accident; Forensic engineering; Engineering; Computer science","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":[0.000490975,0.0002056537,0.0003092554,0.001189981,0.0004676542,0.0007799467,0.0002818776,0.0003459387,0.002930069],"category_scores_gemma":[0.003706083,0.0001698515,0.0006409404,0.00164807,0.0004411512,0.0004412626,0.00126835,0.0004385631,0.0002309181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004451492,"about_ca_system_score_gemma":0.0003321806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01837518,"about_ca_topic_score_gemma":0.02252808,"domain_scores_codex":[0.9992601,0.0003944329,0.00004940689,0.00007772246,0.00007914611,0.0001391737],"domain_scores_gemma":[0.997517,0.0008269488,0.0008666349,0.0001330303,0.000382022,0.0002743884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002126622,0.0001411684,0.9912618,0.00006991572,0.0002014057,0.0007733633,0.0009585897,0.0004418965,0.0004403958,0.0002545413,0.0001491219,0.005095048],"study_design_scores_gemma":[0.000003379738,0.000176628,0.9972984,0.000009474084,0.00003857558,0.0001753404,0.001560183,0.0002623129,0.00006039725,0.0001137944,0.0002961219,0.000005423584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985984,0.0001779423,0.00006079362,0.00006452687,0.000002169519,0.000006452648,0.0001228287,0.000004020795,0.0009629815],"genre_scores_gemma":[0.9995245,0.0001676307,0.00002347785,0.00000747168,0.000003715876,0.000004066553,0.00009170558,0.000001525145,0.0001759573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01837518,"threshold_uncertainty_score":0.03653646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007825208358549022,"score_gpt":0.2607200359754755,"score_spread":0.2528948276169265,"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."}}