{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000507821,0.0006026628,0.0006259579,0.001409825,0.0002616115,0.0006920234,0.0008744152,0.0006878305,0.0006572574],"category_scores_gemma":[0.002588056,0.0002263077,0.0004441083,0.0008937896,0.0002744429,0.001062088,0.0006873901,0.0008861502,0.0003462746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003380703,"about_ca_system_score_gemma":0.0004653759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002541682,"about_ca_topic_score_gemma":0.003442083,"domain_scores_codex":[0.9996166,0.00007890471,0.00002204553,0.0001047665,0.0001026818,0.0000749093],"domain_scores_gemma":[0.9990523,0.0003588906,0.0001511649,0.0001122325,0.0002624567,0.00006294685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001224142,0.0009691485,0.05026827,0.0001703178,0.0002913035,0.000653584,0.0002223059,0.2144217,0.03886791,0.004128514,0.0112876,0.6774952],"study_design_scores_gemma":[0.00001178202,0.00008121954,0.007062407,0.000006524888,0.00002026519,0.0001715259,0.00005468617,0.9850132,0.004172646,0.002997256,0.0003964654,0.00001201577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3910235,0.0008987963,0.6011437,0.0005482471,0.0002566094,0.0001203857,0.0009408154,0.002384333,0.002683607],"genre_scores_gemma":[0.9609144,0.0001494721,0.03729374,0.00003385114,0.00006472596,0.00003338126,0.0007677863,0.00003318789,0.0007094236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002541682,"threshold_uncertainty_score":0.005053759,"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."}}