{"id":"W6983485691","doi":"","title":"Modèle de commande d'un élément FACTS relié à un générateur synchrone","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Action (physics); Context (archaeology); Control (management); Term (time); Synchronism","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":[0.001575343,0.0009340971,0.0004805173,0.002003949,0.003705506,0.00690583,0.001129286,0.002103046,0.2593878],"category_scores_gemma":[0.004569958,0.0008075486,0.0006725714,0.001450048,0.00127801,0.002546321,0.001393035,0.002678453,0.09843815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008706659,"about_ca_system_score_gemma":0.00940387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3913525,"about_ca_topic_score_gemma":0.3612621,"domain_scores_codex":[0.9980452,0.0001348767,0.00006080237,0.0002221959,0.001217007,0.0003198963],"domain_scores_gemma":[0.9981689,0.0002726655,0.00008535925,0.0003370177,0.0009292194,0.000206882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003674384,0.00006716217,0.000833231,0.0001508653,0.00001381122,0.0002169365,0.001170253,0.0004330935,0.002472228,0.1038911,0.7798249,0.110559],"study_design_scores_gemma":[0.00001817038,0.000009492905,0.0009745336,0.00002193255,0.000003462563,0.00002996546,0.00009542741,0.0001659102,0.001198425,0.0008380088,0.9966319,0.00001270899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003083796,0.0004435231,0.00568737,0.001728801,0.0008956499,0.0002100731,0.00304812,0.005030765,0.9798718],"genre_scores_gemma":[0.01299017,0.0002142902,0.001884042,0.0002218107,0.0001164461,0.00005480381,0.0009364362,0.0009309462,0.9826511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3913525,"threshold_uncertainty_score":0.8677387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00280161665752833,"score_gpt":0.1354755068581237,"score_spread":0.1326738902005954,"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."}}