{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004017402,0.001298045,0.00116161,0.003243141,0.0005874875,0.001502993,0.001613925,0.001264202,0.004612724],"category_scores_gemma":[0.01112428,0.0009487614,0.002431166,0.001356793,0.001708126,0.002124544,0.002979815,0.001529099,0.002145403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151514,"about_ca_system_score_gemma":0.0007758537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238755,"about_ca_topic_score_gemma":0.0008791215,"domain_scores_codex":[0.9974668,0.0006516424,0.0001532384,0.0006108091,0.0008962999,0.0002212018],"domain_scores_gemma":[0.9948089,0.00150647,0.0009031343,0.001132744,0.001225319,0.0004233996],"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":[0.0003380061,0.0001191304,0.005131906,0.0004112375,0.0002837473,0.0004015418,0.0006283019,0.350246,0.05336258,0.3041784,0.004330098,0.2805691],"study_design_scores_gemma":[0.00001311553,0.00008012482,0.001187435,0.00002052316,0.0000416494,0.0001439113,0.00002308297,0.9418504,0.004042263,0.04944877,0.003124463,0.00002413804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00600106,0.00008300196,0.992523,0.00004327291,0.0000227789,0.00002975876,0.00003289672,0.0002946275,0.0009695222],"genre_scores_gemma":[0.3687194,0.0005788179,0.6205915,0.0001384218,0.0002436173,0.0002843385,0.0005833652,0.0009746719,0.007885873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004612724,"threshold_uncertainty_score":0.02124625,"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."}}