{"id":"W2053194190","doi":"10.1109/isbmsb.2010.5463134","title":"Transmitter identification of ATSC DTV under mobile environment","year":2010,"lang":"en","type":"article","venue":"","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Communications Research Centre Canada","funders":"","keywords":"Digital television; Transmitter; Multipath propagation; Computer science; Fading; Digital Video Broadcasting; Electronic engineering; Offset (computer science); Identification (biology); Telecommunications; Channel (broadcasting); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006586545,0.00004609281,0.000051006,0.00003925935,0.00002111561,0.000007060597,0.0001704518,0.00005508927,0.0002760853],"category_scores_gemma":[0.000003237631,0.00004143138,0.0000224762,0.00004568384,0.00003621797,0.00004042388,0.00002041059,0.0001112362,0.0000466424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006641964,"about_ca_system_score_gemma":0.000001423206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003408119,"about_ca_topic_score_gemma":0.000009595138,"domain_scores_codex":[0.999679,0.000002996917,0.0001467795,0.00005405044,0.00004376347,0.00007343454],"domain_scores_gemma":[0.9995471,0.00002123808,0.00001613517,0.0004002085,0.000006050443,0.000009254166],"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":[6.039973e-7,0.00005059862,0.0004294491,0.00001881338,0.00001695867,8.022928e-8,0.0001360306,0.005137548,0.9421097,0.00361457,0.0005828894,0.04790276],"study_design_scores_gemma":[0.0002871834,0.00003362757,0.03108366,0.000007101161,0.00002028154,0.000004758313,0.0005377149,0.03351838,0.8743408,0.002979414,0.05692212,0.000264918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9313075,0.00006163985,0.0664603,0.000127182,0.00005399607,0.00008516755,0.000004318776,0.0003666945,0.0015332],"genre_scores_gemma":[0.9912542,0.0000691913,0.008488616,0.000007237927,0.000005698992,0.00003163155,0.000003569959,0.000008538313,0.000131382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06776885,"threshold_uncertainty_score":0.302294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006890809821866069,"score_gpt":0.1987018708141137,"score_spread":0.1918110609922477,"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."}}