{"id":"W4239000808","doi":"10.1002/9781118798706.hdi060","title":"Digital Television","year":2015,"lang":"en","type":"other","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CMC Microsystems (Canada)","funders":"","keywords":"Digital television; Orthogonal frequency-division multiplexing; Computer science; Multiplexing; SIGNAL (programming language); Transmission (telecommunications); Electronic engineering; Telecommunications; Digital signal processing; Digital signal; High-definition television; Computer hardware; Engineering; Channel (broadcasting)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003978648,0.000126191,0.0001373527,0.0001800702,0.00002934418,0.0001771063,0.001431593,0.0001746774,0.0001754678],"category_scores_gemma":[0.00003707904,0.00008732651,0.00003060542,0.0001716914,0.00002274613,0.0001022702,0.002230853,0.0001042574,0.0009000464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009922653,"about_ca_system_score_gemma":0.00003033411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007946621,"about_ca_topic_score_gemma":0.000001755253,"domain_scores_codex":[0.9992745,0.000005632047,0.00007652589,0.0002699878,0.0002463359,0.0001270426],"domain_scores_gemma":[0.9991288,0.00001036592,0.00005636158,0.0007380485,0.00002027659,0.00004611027],"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":[8.18854e-8,0.000005543484,0.0000030212,0.000002303779,0.000002528614,0.000003190531,0.000003366211,7.866448e-8,4.530108e-7,0.004121373,0.7519369,0.2439211],"study_design_scores_gemma":[0.00004854722,0.00002175184,6.573779e-7,0.00006641275,6.529453e-7,0.000004229919,0.000004163828,0.0002532439,0.00002882522,0.004735284,0.9947034,0.0001327927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[1.858745e-7,0.0006388988,0.1186116,0.000200704,0.0002709459,0.00004219996,0.000002507904,0.004141853,0.8760911],"genre_scores_gemma":[0.0004189227,0.000032935,0.008562709,0.00005837438,0.0000549216,0.000003142263,0.000002726407,0.00006083272,0.9908054],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2437883,"threshold_uncertainty_score":0.9998779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02169261781255818,"score_gpt":0.2477246174183139,"score_spread":0.2260319996057557,"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."}}