{"id":"W1978104094","doi":"10.1109/tbc.2008.2007026","title":"Evaluating the Use of Cross-Polarization Discrimination in Mitigating Interference from Unlicensed Devices onto DTV","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Ultra high frequency; Digital television; Interference (communication); Telecommunications; Antenna (radio); Polarization (electrochemistry); Computer science; Electronic engineering; Electrical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002144208,0.0001879453,0.0001950196,0.0002143997,0.0003773796,0.00007801573,0.0003300377,0.0001174716,0.00001963324],"category_scores_gemma":[0.0002022905,0.0001671641,0.00006515289,0.0005824286,0.00016397,0.0005464079,0.000006851139,0.0004816543,0.000004774989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001131725,"about_ca_system_score_gemma":0.0000282712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009957853,"about_ca_topic_score_gemma":0.0008077465,"domain_scores_codex":[0.9986722,0.00009970109,0.0005684727,0.000217918,0.0002078412,0.0002338837],"domain_scores_gemma":[0.9982497,0.0009889423,0.000151298,0.0004549503,0.0001300882,0.00002508664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002085891,0.00007246336,0.004896825,0.00004217745,0.00003029956,0.000001414476,0.002669338,0.7487025,0.09198501,0.00001622648,0.000005057356,0.1515579],"study_design_scores_gemma":[0.0003770461,0.0000899032,0.03024421,0.0004970572,0.00002689474,0.00001117289,0.0005952206,0.8960881,0.071762,0.0000570972,0.00002171437,0.0002296216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7761954,0.00008872448,0.2229745,0.0000392634,0.0001436388,0.0001714999,0.00002570864,0.0003066984,0.0000545381],"genre_scores_gemma":[0.9679614,0.00005282081,0.03183593,0.00001740903,0.00001689206,0.00004554596,0.00001113229,0.0000305752,0.00002834669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1917659,"threshold_uncertainty_score":0.6816754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1689604688000234,"score_gpt":0.3340072051825154,"score_spread":0.165046736382492,"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."}}