{"id":"W3109979303","doi":"10.18280/isi.250511","title":"Dangerous Prediction in Roads by Using Machine Learning Models","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Traffic and Road Safety","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Naive Bayes classifier; Logistic regression; Decision tree; Random forest; Machine learning; Classifier (UML); Artificial intelligence; Support vector machine; Computer science; Geography","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":[0.0008213315,0.0008568366,0.0005932621,0.002503871,0.0005383657,0.001264638,0.0009702279,0.001157069,0.002135278],"category_scores_gemma":[0.002772095,0.0003349019,0.001256142,0.001587241,0.0002615482,0.001348751,0.0005042343,0.00117383,0.001569671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008896336,"about_ca_system_score_gemma":0.0009468627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02393162,"about_ca_topic_score_gemma":0.02641576,"domain_scores_codex":[0.9993936,0.0001358173,0.0000569869,0.0001814955,0.000108631,0.0001234449],"domain_scores_gemma":[0.9984912,0.000740258,0.0001900565,0.0000959529,0.0004031147,0.00007937723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002065022,0.0005620546,0.09493325,0.0001778754,0.0001416507,0.0004930744,0.00009050946,0.7769104,0.001067044,0.001785652,0.01182039,0.1118117],"study_design_scores_gemma":[0.000003202646,0.000021789,0.004264399,0.00001644963,0.0000122499,0.0000324462,0.00004951622,0.9933559,0.0002971461,0.001253297,0.0006841625,0.000009435586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7801922,0.001951235,0.1878149,0.001915982,0.0004915249,0.000313384,0.01090901,0.004276637,0.01213514],"genre_scores_gemma":[0.9632833,0.0003427315,0.02664934,0.00009809846,0.0000778457,0.00007206673,0.006988815,0.00004482238,0.002442984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02393162,"threshold_uncertainty_score":0.04758465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01948351622584993,"score_gpt":0.1939725888148015,"score_spread":0.1744890725889516,"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."}}