{"id":"W7057876387","doi":"","title":"Machine Unlearning for Mobility Data: An Algorithmic Perspective","year":2025,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Trajectory; Perspective (graphical); Benchmark (surveying); Point (geometry); Function (biology); Work (physics)","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":[0.001806425,0.001105421,0.0008947295,0.0009831078,0.0006530259,0.001351429,0.001904085,0.001429617,0.001891983],"category_scores_gemma":[0.01047416,0.0003820034,0.0006169489,0.001145881,0.001551225,0.00324596,0.001955696,0.003172119,0.0006047261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001130831,"about_ca_system_score_gemma":0.001615815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003706582,"about_ca_topic_score_gemma":0.005495226,"domain_scores_codex":[0.9992197,0.0002840058,0.00004843513,0.000236648,0.000154378,0.00005677581],"domain_scores_gemma":[0.9959617,0.002667929,0.0002781669,0.0005926586,0.0003944732,0.0001051606],"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":[0.00009455797,0.0001756845,0.002533707,0.0001800133,0.0000489967,0.00008675141,0.0001345334,0.639881,0.001440848,0.04961634,0.003620713,0.3021869],"study_design_scores_gemma":[0.000005874595,0.00002226062,0.00008535304,0.00001344924,0.000003701303,0.00001727656,0.00001544663,0.9627559,0.0008365145,0.03522478,0.001014882,0.000004594781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01123668,0.0004233476,0.9855804,0.0006616623,0.00004153682,0.00004489171,0.00009469478,0.0006643869,0.001252377],"genre_scores_gemma":[0.4016304,0.000847201,0.589659,0.0006143595,0.0002286747,0.0003309415,0.001118333,0.0003105105,0.005260554],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003706582,"threshold_uncertainty_score":0.009553373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747854982581315,"score_gpt":0.2120808379830081,"score_spread":0.1946022881571949,"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."}}