{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004094991,0.001574639,0.002096353,0.002213301,0.00133843,0.001752615,0.00415415,0.001879396,0.004350019],"category_scores_gemma":[0.0155078,0.0007455752,0.001216386,0.001991771,0.0009924434,0.003170232,0.003646404,0.001999891,0.002379949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007001935,"about_ca_system_score_gemma":0.002241133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006007791,"about_ca_topic_score_gemma":0.005852771,"domain_scores_codex":[0.9967694,0.0003869412,0.0002208078,0.001056486,0.001263279,0.0003032208],"domain_scores_gemma":[0.9894974,0.002689934,0.001091993,0.004354305,0.001848935,0.000517287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001089987,0.000194477,0.007541331,0.0002897085,0.0002074412,0.0003894301,0.0004004052,0.03770538,0.02610811,0.01045336,0.01083953,0.9047809],"study_design_scores_gemma":[0.0001366274,0.0005229539,0.004409223,0.00007335771,0.0001628766,0.001190611,0.0002131695,0.8831837,0.07661871,0.01221249,0.02117405,0.0001021613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03469251,0.0008556388,0.955708,0.0001184753,0.0002903033,0.0001527697,0.0002686066,0.006629478,0.001284241],"genre_scores_gemma":[0.3498558,0.0003913677,0.640771,0.0002322522,0.0001434683,0.0001740803,0.001491265,0.0009927307,0.005948122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006007791,"threshold_uncertainty_score":0.02165663,"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."}}