{"id":"W3090906250","doi":"10.1145/3406096","title":"Vehicle Trajectory Similarity","year":2020,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Trajectory; Computer science; Robustness (evolution); Data mining; Similarity (geometry); Preprocessor; Field (mathematics); Artificial intelligence; Mathematics","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":[0.001320246,0.0007739872,0.001347191,0.007104013,0.000741905,0.00278669,0.00179269,0.001211586,0.003864312],"category_scores_gemma":[0.0100112,0.000283187,0.0009841636,0.01113743,0.0008638239,0.005001312,0.001747551,0.0008876231,0.002746236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659827,"about_ca_system_score_gemma":0.001173058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003924251,"about_ca_topic_score_gemma":0.002502625,"domain_scores_codex":[0.9972883,0.0003875756,0.0002528632,0.0007285139,0.001204271,0.0001383833],"domain_scores_gemma":[0.9962064,0.001269164,0.0004747185,0.0005292161,0.001397102,0.0001234532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001024668,0.00008825267,0.01582005,0.002011857,0.0002818172,0.0001272053,0.0002440145,0.02230466,0.001268119,0.08425907,0.02230159,0.8511908],"study_design_scores_gemma":[0.0000412023,0.0005514406,0.05994593,0.002011339,0.0004624166,0.004644807,0.002009695,0.1688284,0.006532467,0.2277671,0.526864,0.0003412735],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.06342328,0.2234423,0.6297802,0.002900647,0.002722963,0.0008437067,0.01243841,0.001593655,0.06285495],"genre_scores_gemma":[0.6274611,0.1451551,0.1734378,0.0007937818,0.002694655,0.0008468604,0.02779974,0.0004045402,0.02140651],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007104013,"threshold_uncertainty_score":0.01292741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09361225653001852,"score_gpt":0.3317778727906651,"score_spread":0.2381656162606465,"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."}}