{"id":"W3089047966","doi":"10.1109/tits.2020.3022612","title":"A Two-Phase Anomaly Detection Model for Secure Intelligent Transportation Ride-Hailing Trajectories","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Trajectory; Outlier; Anomaly detection; Computer science; Feature (linguistics); Artificial intelligence; Data mining; Algorithm","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":[0.001314785,0.0007649088,0.001176387,0.001061413,0.0005168809,0.001325564,0.002170105,0.001218963,0.001769121],"category_scores_gemma":[0.002533145,0.000470365,0.0009414519,0.001024057,0.0006679326,0.001477023,0.001032323,0.001795035,0.0004196875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001251487,"about_ca_system_score_gemma":0.001402094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01589788,"about_ca_topic_score_gemma":0.008414028,"domain_scores_codex":[0.9993917,0.0001108786,0.00004258515,0.0002026167,0.0001353806,0.0001168952],"domain_scores_gemma":[0.9990112,0.0003459759,0.0001551495,0.00006805947,0.0003543957,0.00006519922],"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":[0.000180107,0.00007626908,0.003303398,0.00004810638,0.00006306446,0.00008883918,0.0000667334,0.9350443,0.001372165,0.009239382,0.001030203,0.04948737],"study_design_scores_gemma":[0.000001409375,0.00000678697,0.00008727446,0.000001091376,0.00000301503,0.000005331307,0.000002384819,0.9989746,0.0000832639,0.0007382829,0.00009486934,0.000001777525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04829942,0.0002894743,0.9490471,0.0004124773,0.00007549897,0.00006256603,0.0001928039,0.0005637589,0.001056838],"genre_scores_gemma":[0.9202821,0.0003411448,0.07411841,0.00009347529,0.00008254155,0.0001552106,0.0004612908,0.00006962928,0.00439627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01589788,"threshold_uncertainty_score":0.03161067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04411476331668539,"score_gpt":0.2958136131561321,"score_spread":0.2516988498394467,"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."}}