{"id":"W7020339297","doi":"","title":"L'effet du profil de dÃ©lai sur la performance des systÃ¨mes QPSK Ã  large bande","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":"Noise (video); Transmission (telecommunications); Calibration; Phase (matter)","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":[0.0005492637,0.0004858651,0.0003237144,0.0003411243,0.0006203321,0.0009636626,0.0003646187,0.0009828582,0.01258975],"category_scores_gemma":[0.002552701,0.0001871384,0.0001874389,0.0003526029,0.000455635,0.0006569952,0.0004129325,0.0006847777,0.001576854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007782206,"about_ca_system_score_gemma":0.0003996028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003472748,"about_ca_topic_score_gemma":0.003059727,"domain_scores_codex":[0.9996326,0.00006700547,0.00001036772,0.00004833307,0.0001223029,0.0001193982],"domain_scores_gemma":[0.9964327,0.002462799,0.0001813636,0.0001546816,0.0004246277,0.0003438215],"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":[0.009597274,0.0004719234,0.003999599,0.0002542552,0.00007804594,0.0003570196,0.0004587014,0.01758781,0.863157,0.003152791,0.005794749,0.09509096],"study_design_scores_gemma":[0.0002571449,0.005183027,0.01482908,0.0000652829,0.0001217283,0.0004335724,0.0003283524,0.06258043,0.9069186,0.000806079,0.008379385,0.00009745063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767709,0.001163605,0.004923071,0.0009656912,0.0001979845,0.00001792369,0.0002452582,0.0009024438,0.01481322],"genre_scores_gemma":[0.9867907,0.0004705201,0.001413235,0.0001572046,0.00006749103,0.000008857312,0.000143907,0.0001810163,0.01076705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01258975,"threshold_uncertainty_score":0.04211694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002175579130239504,"score_gpt":0.1312674565535245,"score_spread":0.129091877423285,"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."}}