{"id":"W3141043048","doi":"","title":"3 - Estimation robuste pour la détection et le suivi par caméra","year":2004,"lang":"fr","type":"article","venue":"Traitement du signal","topic":"Automated Road and Building Extraction","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimator; Robustness (evolution); Covariance matrix; Gaussian; Covariance; Computer science; Parametric statistics; Algorithm; Artificial intelligence; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002212934,0.001515128,0.00136175,0.001271009,0.0004334436,0.002093493,0.0007521273,0.001843689,0.001844272],"category_scores_gemma":[0.01197734,0.0008247414,0.001316316,0.0007885833,0.0009423107,0.002049153,0.001186817,0.001868525,0.001025345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009761638,"about_ca_system_score_gemma":0.001386992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01170371,"about_ca_topic_score_gemma":0.008485913,"domain_scores_codex":[0.9976483,0.0008570923,0.0001053017,0.0005421313,0.0006714896,0.000175695],"domain_scores_gemma":[0.9964193,0.002195206,0.0003319247,0.0003940429,0.0005814859,0.0000781879],"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":[0.0005187106,0.00006960209,0.003801825,0.0002376507,0.0002489584,0.0002647403,0.0002686157,0.6056867,0.04931103,0.04844602,0.002695876,0.2884504],"study_design_scores_gemma":[0.00001638773,0.00003303927,0.001043834,0.00001358583,0.00001168219,0.0001094669,0.00001836869,0.9848443,0.007935498,0.004281435,0.001665605,0.00002681089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009083749,0.0001720372,0.9897522,0.00008301801,0.00002251018,0.00001331645,0.00004540828,0.0003819882,0.000445837],"genre_scores_gemma":[0.3802693,0.0005739664,0.6143106,0.0001177053,0.00009616982,0.0001287835,0.0004083837,0.000315616,0.003779485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01170371,"threshold_uncertainty_score":0.02327114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007035460219345,"score_gpt":0.2295177192764103,"score_spread":0.2194473646742169,"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."}}