{"id":"W2057319225","doi":"10.1109/cvprw.2013.122","title":"Target Trajectory Prediction in PTZ Camera Networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Probabilistic logic; Computer science; Trajectory; Artificial intelligence; Position (finance); Computer vision; Machine learning","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":[0.001084695,0.0007893385,0.0008080135,0.0005870577,0.0004433486,0.0007049845,0.001114356,0.0008815583,0.001183355],"category_scores_gemma":[0.006226106,0.0003871008,0.0003355321,0.0006629024,0.0005232043,0.002287942,0.001157635,0.0007403204,0.0003157971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011409,"about_ca_system_score_gemma":0.000706877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01479758,"about_ca_topic_score_gemma":0.007773251,"domain_scores_codex":[0.999321,0.0001486192,0.00002664188,0.0001910162,0.0002028851,0.0001098712],"domain_scores_gemma":[0.9979841,0.001054825,0.0003376674,0.0002086253,0.0003195419,0.00009535124],"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":[0.0002851947,0.00001690958,0.002952968,0.00002935338,0.00002041939,0.00006397686,0.00004284782,0.9548885,0.001660539,0.001451139,0.0003703335,0.03821784],"study_design_scores_gemma":[0.000003072745,0.00002726641,0.0005059478,0.000002701825,0.000003412587,0.0000188454,0.000009781484,0.9978257,0.0008475933,0.0006471477,0.0001054836,0.000002988811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1753956,0.0005842929,0.8193802,0.0002805051,0.00004794449,0.0000580981,0.0001830937,0.0008731898,0.00319711],"genre_scores_gemma":[0.9657879,0.0002544997,0.03226247,0.0000342338,0.00001741909,0.00003922215,0.0001661841,0.0000349093,0.001403068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01479758,"threshold_uncertainty_score":0.02942288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321427216894542,"score_gpt":0.2399902632523855,"score_spread":0.2267759910834401,"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."}}