{"id":"W9544183","doi":"10.5281/zenodo.1060437","title":"Real-Time Target Tracking Using A Pan And Tilt Platform","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Éducation, du Loisir et du Sport Québec","keywords":"Tilt (camera); Tracking (education); Computer science; Computer vision; Artificial intelligence; Psychology; Mathematics; Geometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003142123,0.0006404525,0.0005085044,0.0004249843,0.0002632592,0.0005641112,0.0006995478,0.0004748733,0.001959149],"category_scores_gemma":[0.0005111897,0.0002897147,0.000283007,0.0003818335,0.0003023386,0.0006678712,0.0005903133,0.0004450258,0.0007369003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466125,"about_ca_system_score_gemma":0.0003510507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001759659,"about_ca_topic_score_gemma":0.00161151,"domain_scores_codex":[0.9996916,0.00002987949,0.000009638776,0.0001147593,0.000124258,0.00002980333],"domain_scores_gemma":[0.9998081,0.00004333127,0.00002697627,0.00004192712,0.00005662016,0.00002306439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009588608,0.0001184515,0.001968328,0.0001998204,0.00007577082,0.0003405143,0.0002044819,0.01948512,0.4894032,0.002872873,0.002286714,0.4820858],"study_design_scores_gemma":[0.0001502614,0.001352978,0.01007656,0.00006246051,0.0001729356,0.002368004,0.00009826024,0.6206731,0.3458397,0.001801851,0.01729543,0.0001084182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06084696,0.0006016325,0.932446,0.00006299618,0.0001004947,0.0000685318,0.0000561778,0.002699317,0.003117847],"genre_scores_gemma":[0.6279452,0.000912792,0.3623198,0.0001072469,0.00008480481,0.00009086348,0.0002433349,0.0001124353,0.008183514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001959149,"threshold_uncertainty_score":0.006554008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05756364068406222,"score_gpt":0.2882793746268032,"score_spread":0.230715733942741,"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."}}