{"id":"W4238814504","doi":"10.1109/icce.1993.697676","title":"Advanced Television Signal Generation For Study Of Interference Into NTSC","year":2005,"lang":"en","type":"article","venue":"","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"NTSC; Interference (communication); Computer science; SIGNAL (programming language); Telecommunications; Electronic engineering; High-definition television; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001867038,0.000343886,0.0002173939,0.0004420653,0.0003203734,0.000354686,0.00038219,0.0003989462,0.003416389],"category_scores_gemma":[0.0006057186,0.0001226158,0.0002529518,0.0007095659,0.0003559445,0.0005459756,0.0001911045,0.0005835482,0.000502735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005346304,"about_ca_system_score_gemma":0.000217067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001228099,"about_ca_topic_score_gemma":0.0009670352,"domain_scores_codex":[0.9997833,0.00004941108,0.000003343268,0.00002569644,0.0001119858,0.00002617052],"domain_scores_gemma":[0.9997264,0.0001339622,0.00002103228,0.00002150925,0.00008520933,0.00001192933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004641066,0.0001415509,0.00274592,0.0003351395,0.00005369166,0.001120739,0.0006159506,0.06021215,0.5532597,0.3224149,0.001325629,0.05731057],"study_design_scores_gemma":[0.00003835446,0.0004675126,0.007532377,0.00006120853,0.00006515298,0.001266806,0.0001673796,0.6835519,0.2568063,0.02467693,0.02531286,0.00005317458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3644773,0.004275251,0.4969266,0.0003849708,0.0002331097,0.0001147815,0.0001572664,0.0002725672,0.1331582],"genre_scores_gemma":[0.9390741,0.001840881,0.03341068,0.00009811713,0.0001674416,0.00004059171,0.0001283195,0.0001021356,0.02513771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003416389,"threshold_uncertainty_score":0.01142895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03117419004171931,"score_gpt":0.2775202897861065,"score_spread":0.2463460997443872,"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."}}