{"id":"W3126956208","doi":"","title":"Detection of abnormal driving situations using distributed representations and unsupervised learning.","year":2020,"lang":"en","type":"article","venue":"The European Symposium on Artificial Neural Networks","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Unsupervised learning; Artificial intelligence; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002543253,0.0001177884,0.0001117377,0.00004232097,0.0006444869,0.0001332786,0.0003413236,0.00002814527,0.000003017762],"category_scores_gemma":[0.0000380555,0.00009889601,0.00006332735,0.0005961703,0.0000962002,0.0001887734,0.0002033417,0.0002741628,0.00000657132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001208391,"about_ca_system_score_gemma":0.000006922649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001603484,"about_ca_topic_score_gemma":0.00000422956,"domain_scores_codex":[0.998684,0.0004050376,0.0003126007,0.0002923954,0.00013974,0.0001662042],"domain_scores_gemma":[0.9992644,0.0001216447,0.0001711128,0.0002861726,0.00006684873,0.00008977787],"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":[0.00003208376,0.00006065321,0.0004023812,0.000006546598,0.0000216755,0.000005609951,0.001025559,0.7178606,0.2109066,0.00619736,0.00009390669,0.06338697],"study_design_scores_gemma":[0.0000678475,0.0001235887,0.002793028,0.000006611031,0.00001507791,0.000008310933,0.00006268683,0.989045,0.007408573,0.0001266491,0.0002384533,0.00010419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1612097,0.00001213103,0.8346284,0.003066773,0.00006992462,0.0002125208,0.000002279261,0.0002674273,0.000530879],"genre_scores_gemma":[0.9987965,0.0000170996,0.0006364017,0.0002769399,0.0002345057,0.000006612502,0.000005981629,0.00001569218,0.00001024136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8375868,"threshold_uncertainty_score":0.4956937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651806737759474,"score_gpt":0.2465305930559184,"score_spread":0.2200125256783237,"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."}}