{"id":"W2161468953","doi":"10.1145/1099396.1099420","title":"Surveillance camera scheduling","year":2005,"lang":"en","type":"article","venue":"","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer vision; Zoom; Artificial intelligence; Pedestrian; Smart camera; Field of view; Real-time computing; Computer graphics (images)","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":[0.0003662511,0.0008297185,0.0006203283,0.0003867428,0.000563522,0.0009825249,0.001146902,0.000437998,0.004708272],"category_scores_gemma":[0.001352962,0.000293946,0.000342574,0.0003363738,0.0002248044,0.001011224,0.0008492687,0.0005456715,0.0009277588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006350799,"about_ca_system_score_gemma":0.0009498341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003621372,"about_ca_topic_score_gemma":0.003815793,"domain_scores_codex":[0.9993997,0.0001102138,0.00003491707,0.0002149409,0.0001429833,0.00009731493],"domain_scores_gemma":[0.9992467,0.0001320089,0.000102402,0.0001636502,0.0002236852,0.0001314915],"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":[0.001909179,0.0004770218,0.007789871,0.000362833,0.0001389591,0.0005580334,0.000324861,0.4530552,0.1145343,0.02142736,0.01507747,0.3843449],"study_design_scores_gemma":[0.00007476965,0.0002771961,0.001747321,0.00001280906,0.00002986623,0.0002495399,0.00009248285,0.9446337,0.03656125,0.003404904,0.01287713,0.0000390339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09215425,0.00049866,0.8918827,0.0002028999,0.000178185,0.0003824964,0.0003368944,0.00289463,0.01146917],"genre_scores_gemma":[0.7956658,0.000283452,0.1972368,0.00008301284,0.00007526719,0.0002044441,0.0006533202,0.0001858168,0.005612079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004708272,"threshold_uncertainty_score":0.01575071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02230211250750908,"score_gpt":0.2919215976128424,"score_spread":0.2696194851053333,"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."}}