{"id":"W4408897724","doi":"10.1109/ism63611.2024.00036","title":"Sliding Window Check: Repairing Object Identities","year":2024,"lang":"en","type":"article","venue":"","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Mitacs","keywords":"Window (computing); Computer science; Object (grammar); Sliding window protocol; Computer vision; Artificial intelligence; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00104357,0.0001030594,0.0001204565,0.00014079,0.0001013186,0.0007612805,0.0004290774,0.00003671757,0.00004160099],"category_scores_gemma":[0.0000743243,0.00008747679,0.0001040498,0.0004554463,0.00001397152,0.0008775804,0.0001873101,0.0001271762,0.0001952596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003153811,"about_ca_system_score_gemma":0.00005943355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000278233,"about_ca_topic_score_gemma":0.00001159176,"domain_scores_codex":[0.9989357,0.00007323893,0.0001676435,0.0003637552,0.0002118845,0.000247787],"domain_scores_gemma":[0.99932,0.0002164072,0.00001752805,0.00037385,0.00002787098,0.00004431319],"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":[0.000002417486,0.000022219,0.006993029,0.0002176221,0.0001183149,0.0005154772,0.002399711,0.0001612799,0.00943724,0.6994606,0.005919185,0.2747529],"study_design_scores_gemma":[0.0008272209,0.0002978554,0.07193362,0.001218209,0.00005423135,0.001135161,0.0007064849,0.2901025,0.2777542,0.2559117,0.09742878,0.002630081],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.018015,0.001293326,0.9317222,0.0006408066,0.001896582,0.0000586696,3.760573e-7,0.001785908,0.04458716],"genre_scores_gemma":[0.8970596,0.00004299834,0.09630088,0.0001762932,0.0001963476,0.000006120631,4.264233e-7,0.00001111569,0.006206277],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8790445,"threshold_uncertainty_score":0.7341045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02364966595937328,"score_gpt":0.2998489089374681,"score_spread":0.2761992429780948,"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."}}