{"id":"W7027399219","doi":"","title":"Commande non linéaire à modèle prédictif pour une machine asynchrone","year":2007,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Manipulator (device); Jerk; Sensitivity (control systems)","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":[0.0004329048,0.0006389709,0.0004733561,0.0002950741,0.00066412,0.001559323,0.0007289891,0.0006886288,0.01719433],"category_scores_gemma":[0.001216153,0.0002537397,0.0004394695,0.0002983874,0.0008887906,0.00126874,0.0009466657,0.001207012,0.003217545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007889238,"about_ca_system_score_gemma":0.00073279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001493061,"about_ca_topic_score_gemma":0.001653759,"domain_scores_codex":[0.9994712,0.0000703205,0.00003308982,0.0001525359,0.0002156413,0.00005719284],"domain_scores_gemma":[0.9992656,0.000259977,0.00008178806,0.0001410138,0.000197616,0.00005394865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009817429,0.0001317506,0.001892979,0.0009870132,0.0001066654,0.0004906784,0.0007496001,0.1131581,0.3517692,0.186867,0.007760059,0.3351051],"study_design_scores_gemma":[0.00013545,0.001228021,0.003410657,0.0002018832,0.00008796087,0.0007854201,0.0004264368,0.574268,0.167255,0.05959858,0.1924756,0.0001269844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04180451,0.001200376,0.9195949,0.0007312609,0.000594761,0.0000968025,0.0001545512,0.00233106,0.03349175],"genre_scores_gemma":[0.7282035,0.0017848,0.1869323,0.0007867214,0.0004231164,0.0003289497,0.0003605396,0.0004662575,0.08071385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01719433,"threshold_uncertainty_score":0.05752075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003453911786927895,"score_gpt":0.1544637781269441,"score_spread":0.1510098663400162,"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."}}