{"id":"W2296388617","doi":"10.1109/crv.2016.36","title":"Modular Decomposition and Analysis of Registration Based Trackers","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"BitTorrent tracker; Computer science; Modular design; Tracking (education); Decomposition; Interface (matter); Component (thermodynamics); Artificial intelligence; Operating system; Eye tracking","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008477422,0.000137491,0.0003648941,0.0003949032,0.00003293316,0.00009065255,0.000352917,0.0001438851,0.00001009521],"category_scores_gemma":[0.00003534606,0.0001091305,0.0001810468,0.0003594434,0.00004267467,0.0001453229,0.0001416314,0.000100232,8.788529e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002382209,"about_ca_system_score_gemma":0.00006915063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000514101,"about_ca_topic_score_gemma":0.0000357683,"domain_scores_codex":[0.9986787,0.0001986427,0.0003124908,0.0004708196,0.0002259284,0.0001134575],"domain_scores_gemma":[0.9986298,0.0001827886,0.0002724655,0.0007438466,0.0001236867,0.00004741534],"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":[0.0001062667,0.0004646071,0.1222242,0.0008533339,0.00585006,0.00004736413,0.0009532324,0.07618654,0.05085133,0.1402895,0.0004719093,0.6017017],"study_design_scores_gemma":[0.0002211486,0.00003764432,0.2380714,0.00007675796,0.000284133,9.90076e-7,0.000002479199,0.733115,0.008485421,0.01939891,0.00005439462,0.0002517683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04553553,0.00007857969,0.9520851,0.0007999205,0.0001354155,0.000096453,0.00001424602,0.00007637947,0.00117833],"genre_scores_gemma":[0.75789,0.00001946224,0.2419407,0.00007144832,0.0000147763,0.000006273584,0.00002932123,0.000003745306,0.00002427224],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7123545,"threshold_uncertainty_score":0.4450212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779654062113148,"score_gpt":0.3276983748749608,"score_spread":0.2999018342538294,"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."}}