{"id":"W7062778657","doi":"","title":"Ãtude et conception de composants passifs en technologie NRD pour applications en ondes millimÃ©triques","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Transmission (telecommunications); Product (mathematics); Mode (computer interface)","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":[0.001143152,0.00111519,0.0005446085,0.001415024,0.001488299,0.00615315,0.0009346206,0.00139859,0.004163922],"category_scores_gemma":[0.00137199,0.0006727214,0.0009762787,0.0007739983,0.001752237,0.002833559,0.0007438493,0.001805123,0.00160126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003386587,"about_ca_system_score_gemma":0.001811717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02529998,"about_ca_topic_score_gemma":0.01520114,"domain_scores_codex":[0.9988243,0.0001481049,0.00005941611,0.000250317,0.0006264837,0.00009133335],"domain_scores_gemma":[0.9992973,0.000210843,0.00006457561,0.00010298,0.0002745297,0.00004974536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001854104,0.0001639113,0.005863589,0.0003733292,0.00007247819,0.001378728,0.003959308,0.03399969,0.2038065,0.5295463,0.001979679,0.218671],"study_design_scores_gemma":[0.00005126396,0.0004281609,0.01266,0.0003687722,0.0001531502,0.003756075,0.003465397,0.2192455,0.267522,0.06949929,0.4226885,0.000161974],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1181605,0.002380467,0.8034948,0.0004725964,0.0002052136,0.0001496787,0.0001483101,0.000974573,0.07401391],"genre_scores_gemma":[0.4241664,0.002914553,0.4517183,0.0001427033,0.00009687998,0.0002016706,0.0004178788,0.0003338051,0.1200078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02529998,"threshold_uncertainty_score":0.05030549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004111530036047354,"score_gpt":0.173487929487365,"score_spread":0.1693763994513176,"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."}}