{"id":"W2963895973","doi":"10.1109/icip.2015.7351162","title":"Reproducible evaluation of Pan-Tilt-Zoom tracking","year":2015,"lang":"en","type":"article","venue":"","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Polytechnique Montréal","funders":"","keywords":"Zoom; Computer vision; Computer science; Artificial intelligence; Tracking (education); Tilt (camera); Tracking system; Field (mathematics); Kalman filter; Engineering; Mathematics","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":[0.009884766,0.00007502633,0.000145097,0.00008206625,0.00002897567,0.00005644947,0.0004429963,0.00003775783,0.00001574796],"category_scores_gemma":[0.001111607,0.00006350955,0.00004375196,0.0004270566,0.00002045364,0.000484257,0.00009434626,0.0000607519,0.00003230396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000347831,"about_ca_system_score_gemma":0.0002067407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008878686,"about_ca_topic_score_gemma":0.00002358123,"domain_scores_codex":[0.9981741,0.0003471559,0.0002399901,0.0003854353,0.0006975676,0.0001558028],"domain_scores_gemma":[0.998081,0.00009216147,0.0001058475,0.0009678669,0.0006960264,0.00005708897],"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":[0.000005638631,0.00007779429,0.01563736,0.00001045678,0.00001817477,0.000001986856,0.001335818,0.001413856,0.002180166,0.01359939,0.001484342,0.964235],"study_design_scores_gemma":[0.00267915,0.0003766702,0.2191257,0.0000754781,0.00005765727,0.00005026124,0.0003609523,0.2982191,0.2909895,0.1805885,0.006801558,0.0006754824],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1984163,0.0005250524,0.7591411,0.0007856034,0.0008395723,0.0002132433,4.312357e-7,0.0002096198,0.03986914],"genre_scores_gemma":[0.8741745,0.000003595967,0.1255289,0.00006765542,0.00006316426,0.000005911785,7.901587e-7,0.000004629936,0.0001508177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9635595,"threshold_uncertainty_score":0.3425882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2690667962726861,"score_gpt":0.4005891811658235,"score_spread":0.1315223848931374,"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."}}