{"id":"W4402713103","doi":"10.1109/cvpr52733.2024.02108","title":"MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark","year":2024,"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":"Kootenay Association for Science & Technology","funders":"Neurosciences Research Foundation","keywords":"Benchmark (surveying); Computer science; Modal; Scale (ratio); Tracking (education); Artificial intelligence; Computer vision; Geography","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":[0.001691547,0.0002311992,0.0002721785,0.0002745278,0.0001792329,0.0006593246,0.0007566786,0.00007815056,0.0001609571],"category_scores_gemma":[0.00005101932,0.0001946899,0.0001835107,0.001156463,0.00003800346,0.0008270463,0.0002389905,0.0003320784,0.0002383209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007616995,"about_ca_system_score_gemma":0.0001453388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004329179,"about_ca_topic_score_gemma":0.002389708,"domain_scores_codex":[0.9976658,0.0001826075,0.0003402084,0.0007594943,0.0003438314,0.0007080325],"domain_scores_gemma":[0.9986476,0.0003633228,0.0000425428,0.0006979227,0.00007210898,0.0001764566],"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":[0.00001541129,0.0004397381,0.04867729,0.0002646931,0.0001953458,0.0007577299,0.007555862,0.0003809463,0.004197112,0.2145592,0.01167734,0.7112793],"study_design_scores_gemma":[0.0008396812,0.0001092218,0.1593095,0.0002599237,0.00002661498,0.0000793004,0.0001464061,0.6927353,0.005969864,0.006643604,0.1327859,0.00109469],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01064472,0.000510869,0.9515154,0.001333817,0.001710157,0.000161783,0.000007497102,0.001223898,0.03289182],"genre_scores_gemma":[0.6724085,0.00006520595,0.3215117,0.0005135443,0.0002411035,0.00001895715,0.000005518581,0.0000253088,0.005210261],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7101846,"threshold_uncertainty_score":0.7939225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03359071398058994,"score_gpt":0.3373018645151658,"score_spread":0.3037111505345758,"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."}}