{"id":"W6982171954","doi":"","title":"Guide d'onde effilÃ© comme compensateur de dispersion chromatique dans les systÃ¨mes de communications multi-longueurs d'onde","year":2001,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Dispersion (optics); Context (archaeology); Noise (video); Transmission (telecommunications)","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":[0.002251261,0.000981206,0.0007362138,0.002413403,0.003084934,0.00409209,0.00148656,0.002978903,0.03117475],"category_scores_gemma":[0.002330982,0.001049073,0.0005868062,0.001792966,0.002131896,0.002482118,0.0009671545,0.002299935,0.01367701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003300889,"about_ca_system_score_gemma":0.005724525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07261458,"about_ca_topic_score_gemma":0.1425007,"domain_scores_codex":[0.998083,0.000340914,0.0000887974,0.0002341404,0.001162499,0.00009080162],"domain_scores_gemma":[0.9986929,0.0004098769,0.00005447521,0.0001517924,0.0006239919,0.00006699026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002513491,0.0001429636,0.0009790005,0.0008768673,0.00003211205,0.0004937494,0.002388969,0.004386089,0.05842329,0.1743556,0.1591196,0.5985504],"study_design_scores_gemma":[0.00002578315,0.00005012687,0.0006111725,0.0001308159,0.00001656283,0.0003952809,0.0002002124,0.002894963,0.0385381,0.005044191,0.9520387,0.00005411102],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01012188,0.02584872,0.6756435,0.005218314,0.004006507,0.0008507424,0.001486107,0.009319915,0.2675043],"genre_scores_gemma":[0.03503485,0.009720698,0.3570809,0.001049942,0.0001931982,0.000350469,0.0004136416,0.001257234,0.5948991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07261458,"threshold_uncertainty_score":0.1443838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744650218740364,"score_gpt":0.2120346457626791,"score_spread":0.1945881435752755,"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."}}