{"id":"W4287256233","doi":"","title":"Adaptive rejection of finite band disturbances - theory and applications","year":2019,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Control theory (sociology); Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004624843,0.0003364823,0.0004936904,0.0001441112,0.0002760497,0.0001993082,0.0004907862,0.0003088754,0.0000687306],"category_scores_gemma":[0.0004134965,0.000362788,0.0001472522,0.00032499,0.0003229504,0.0002078447,0.0002698127,0.0005287618,0.00002829494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138026,"about_ca_system_score_gemma":0.0001388803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001171766,"about_ca_topic_score_gemma":0.0004372537,"domain_scores_codex":[0.9952924,0.002930133,0.0006389835,0.0005911693,0.0002821686,0.000265198],"domain_scores_gemma":[0.9944441,0.002801276,0.0005252731,0.001070376,0.001039806,0.0001192092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004973934,0.0003093857,0.002927647,0.002466828,0.0003315401,0.000001597599,0.0158038,0.01298447,0.007692564,0.8042977,0.0002899266,0.1528448],"study_design_scores_gemma":[0.002828699,0.000006797811,0.03379852,0.03224088,0.0007863144,0.00007744171,0.004636727,0.4000854,0.2111115,0.1589013,0.1520967,0.003429807],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01977724,0.01945085,0.877661,0.0006752928,0.0003103883,0.0006862165,0.0001118185,0.0001169372,0.08121023],"genre_scores_gemma":[0.9704813,0.001656331,0.01319888,0.00001041166,0.00005741405,0.0001016448,0.0001140286,0.00005463507,0.01432538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.950704,"threshold_uncertainty_score":0.9998824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009812075225357583,"score_gpt":0.205004471464927,"score_spread":0.1951923962395694,"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."}}