{"id":"W4242022488","doi":"10.1109/cjece.2016.2523347","title":"Table of contents","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Information retrieval; Computer science; Database","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002967411,0.0006775622,0.0006176529,0.002386245,0.0008261466,0.002033717,0.001023155,0.0007329657,0.5225765],"category_scores_gemma":[0.002157003,0.0002536792,0.0003680754,0.00171468,0.0001945262,0.001272863,0.0007242993,0.0007314344,0.3487922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006291856,"about_ca_system_score_gemma":0.0009901206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001232134,"about_ca_topic_score_gemma":0.001483368,"domain_scores_codex":[0.9997118,0.0000277231,0.00002276772,0.00005122581,0.0001638844,0.00002253363],"domain_scores_gemma":[0.9989931,0.0001791565,0.00005615751,0.000120996,0.0005715325,0.00007907117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001951881,0.0001058321,0.0004787651,0.001048677,0.00002226962,0.0002703567,0.00006347275,0.001342985,0.008576498,0.006753084,0.6958691,0.2852738],"study_design_scores_gemma":[0.00001562084,0.00009777376,0.0007407989,0.0002988925,0.00001505342,0.0003875086,0.00004811324,0.0009138857,0.002338023,0.003132077,0.9919933,0.00001902356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005065094,0.01792824,0.04065863,0.003440299,0.01298144,0.001140349,0.0298406,0.005807183,0.8831382],"genre_scores_gemma":[0.02560442,0.01660853,0.02674617,0.001899959,0.004038107,0.0005407135,0.03715492,0.001643119,0.8857641],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4774235,"threshold_uncertainty_score":0.6809866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005686757727533567,"score_gpt":0.1525525487511695,"score_spread":0.1468657910236359,"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."}}