{"id":"W2128254691","doi":"10.1109/rose.2011.6058509","title":"RAT: Robust animal tracking","year":2011,"lang":"en","type":"article","venue":"","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Tracking (education); Computer vision; Artificial intelligence; Computer science; Track (disk drive); Motion (physics); Robustness (evolution); Pattern recognition (psychology)","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":[0.001084542,0.0009934206,0.0009310153,0.001033235,0.0002255557,0.0005748264,0.001803554,0.000923668,0.003410331],"category_scores_gemma":[0.001872465,0.0004538891,0.0007087242,0.0006127669,0.0004380467,0.0008427703,0.001187257,0.0008049345,0.003539475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003171902,"about_ca_system_score_gemma":0.0006103776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001960662,"about_ca_topic_score_gemma":0.002875902,"domain_scores_codex":[0.9991716,0.0001132298,0.00003685469,0.0002480101,0.000350425,0.00007992509],"domain_scores_gemma":[0.999012,0.0001631807,0.0002048538,0.0003586118,0.0002034275,0.0000578955],"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":[0.0007167569,0.000211451,0.003988618,0.000489386,0.0003105023,0.0003137148,0.00007521242,0.06046658,0.2489072,0.005857382,0.01932194,0.6593413],"study_design_scores_gemma":[0.0001384011,0.0006675228,0.006975476,0.00005542401,0.0001306061,0.001434392,0.00002671843,0.8386801,0.1223281,0.003938481,0.02545729,0.0001674719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01581837,0.000513577,0.9501336,0.00007320598,0.0001125396,0.0001717175,0.0006839388,0.03013089,0.002362258],"genre_scores_gemma":[0.1824857,0.0004885496,0.8030608,0.0002296882,0.00009868842,0.0004635146,0.00258428,0.001092714,0.009495978],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003410331,"threshold_uncertainty_score":0.01140875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.129061071764386,"score_gpt":0.2856724117713865,"score_spread":0.1566113400070006,"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."}}