{"id":"W3144812761","doi":"","title":"A privacy preserving framework for efficient computation of trajectory similarity","year":2015,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Novelis (Canada)","funders":"","keywords":"Homomorphic encryption; Computation; Trajectory; Similarity (geometry); Computer science; Encryption; Protocol (science); Theoretical computer science; Secure multi-party computation; Algorithm; Image (mathematics); Artificial intelligence; Computer security","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":[0.002968095,0.0006645885,0.00123681,0.001521729,0.001604297,0.002451329,0.002511781,0.001506108,0.002268996],"category_scores_gemma":[0.006897388,0.0005594151,0.001516908,0.002323469,0.002081085,0.008542756,0.004734187,0.003059341,0.0006830456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220499,"about_ca_system_score_gemma":0.002473883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001305279,"about_ca_topic_score_gemma":0.0006782725,"domain_scores_codex":[0.9951012,0.001115004,0.0004142252,0.0009019215,0.002028193,0.0004395608],"domain_scores_gemma":[0.9963453,0.0008573503,0.0003785795,0.001733396,0.0005346308,0.000150792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004040669,0.0001461838,0.0008695055,0.0002165964,0.0001119844,0.0005399943,0.0004637552,0.1255704,0.01682007,0.7110826,0.002790461,0.1409842],"study_design_scores_gemma":[0.0001007657,0.0003451351,0.0004394364,0.0000532519,0.00008681433,0.0007910262,0.0001912211,0.632513,0.0299381,0.3176731,0.01774474,0.0001234339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002890704,0.00009697621,0.9960446,0.00009160193,0.00002587531,0.00005341549,0.00005205451,0.0002560124,0.0004887621],"genre_scores_gemma":[0.4321723,0.0005984376,0.5630293,0.0001863824,0.0001946394,0.0003491418,0.0005096173,0.0001169301,0.002843263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002968095,"threshold_uncertainty_score":0.01569694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07535874184465109,"score_gpt":0.3173116365152341,"score_spread":0.241952894670583,"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."}}