{"id":"W4281757060","doi":"10.1109/tbc.2022.3163818","title":"IEEE Transactions on Broadcasting Special Issue on: 5G Media Production, Contribution, and Distribution","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"Insight SFI Research Centre for Data Analytics; Science Foundation Ireland; European Commission","keywords":"Broadcasting (networking); The Internet; Production (economics); Computer science; Telecommunications; Consumption (sociology); Service provider; Service (business); Multimedia; Business; World Wide Web; Computer network; Marketing","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0005315545,0.0005408985,0.0004547375,0.0004964846,0.00273043,0.0001358739,0.0004520688,0.0002121628,0.0005145003],"category_scores_gemma":[0.0001138035,0.0006216782,0.0001832117,0.00127979,0.0002181694,0.0002946013,0.000004171196,0.001902922,0.00007982834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006781132,"about_ca_system_score_gemma":0.00005732829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003597039,"about_ca_topic_score_gemma":0.00005383986,"domain_scores_codex":[0.9970283,0.0001784668,0.0007493385,0.0007243933,0.0005841896,0.0007352933],"domain_scores_gemma":[0.9980797,0.0006111206,0.0001716944,0.0008015513,0.000172304,0.0001636825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001299659,0.0003919295,0.00001343004,0.0000470645,0.000112342,0.00001312553,0.0006589778,0.5899737,0.002893091,0.00008028162,0.003467188,0.4022189],"study_design_scores_gemma":[0.006160464,0.002961726,0.001013371,0.001116772,0.0007458844,0.001565401,0.007933612,0.268526,0.4065503,0.0009856491,0.2974616,0.004979176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2432802,0.0003384591,0.7358133,0.001900884,0.009407374,0.001397292,0.001516544,0.004674098,0.001671877],"genre_scores_gemma":[0.9966213,0.0002182697,0.001237107,0.000077793,0.0009801163,0.0004003515,0.00006176265,0.000102526,0.0003007895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7533411,"threshold_uncertainty_score":0.9996235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153243013021524,"score_gpt":0.2194628975953474,"score_spread":0.204138596293195,"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."}}