{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006610369,0.0006510799,0.0005669902,0.0009708442,0.0007080366,0.002243193,0.0007056792,0.001642488,0.1037774],"category_scores_gemma":[0.0009699538,0.0002047471,0.0002877745,0.001612676,0.0005103695,0.001159562,0.0007264256,0.001222396,0.04481415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009736411,"about_ca_system_score_gemma":0.0009825821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003751042,"about_ca_topic_score_gemma":0.007802252,"domain_scores_codex":[0.9995598,0.00005070848,0.0000203056,0.00005846872,0.0002462808,0.00006445978],"domain_scores_gemma":[0.9990391,0.0001392247,0.00003249472,0.0001044977,0.0006013763,0.00008332345],"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":[0.0001177552,0.00005869682,0.0006357341,0.0003475528,0.00003050487,0.0003070353,0.00009819954,0.001100187,0.00666907,0.01797903,0.7282083,0.244448],"study_design_scores_gemma":[0.000007022298,0.00003300046,0.0008048602,0.0001000558,0.00002070768,0.0004263313,0.00006686345,0.002017401,0.001060819,0.003319253,0.9921307,0.00001305327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.01004321,0.05622035,0.07697136,0.0188908,0.0936562,0.0003247191,0.002296102,0.001595465,0.7400018],"genre_scores_gemma":[0.07402914,0.05045153,0.01178989,0.004003485,0.01963862,0.0001055987,0.003640313,0.0004785208,0.8358628],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1037774,"threshold_uncertainty_score":0.3471699,"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."}}