{"id":"W4402716168","doi":"10.1109/tbc.2024.3450134","title":"Guest Editorial Special Issue on Intelligent Multicast/Broadcast Services Over 5G/6G","year":2024,"lang":"en","type":"editorial","venue":"IEEE Transactions on Broadcasting","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Communications Research Centre Canada","funders":"","keywords":"Multicast; Multimedia Broadcast Multicast Service; Telecommunications; Computer science; Computer network","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0004293239,0.001355782,0.001016698,0.001148446,0.0006064933,0.0006768627,0.001589309,0.002387122,0.0004480341],"category_scores_gemma":[0.0001765745,0.001394786,0.0005419852,0.0009859717,0.0002086833,0.0003018214,0.00003022919,0.006143121,0.002489973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008457093,"about_ca_system_score_gemma":0.0001445058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000191727,"about_ca_topic_score_gemma":0.0001995816,"domain_scores_codex":[0.9948702,0.000101885,0.001266388,0.001189579,0.001471171,0.001100732],"domain_scores_gemma":[0.995342,0.002150469,0.0002329025,0.001734367,0.0003071986,0.0002331359],"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":[0.00008197554,0.0002210945,3.011837e-7,0.0007095293,0.0002953333,0.00003570212,0.000452578,0.02320828,0.0002298142,0.000004078909,0.8767585,0.09800284],"study_design_scores_gemma":[0.0005171088,0.000332743,6.993236e-7,0.002096356,0.0002799263,0.00001041584,0.0002816195,0.00924689,0.004186995,0.00003274234,0.9817879,0.001226573],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003138237,0.000473501,0.002428623,0.0000654828,0.9859332,0.0006028761,0.001158426,0.004233995,0.004790101],"genre_scores_gemma":[0.005731048,0.001250163,0.001073567,0.00001845061,0.9895911,0.0002314933,0.0001824871,0.0004775586,0.001444174],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1050295,"threshold_uncertainty_score":0.9999193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076970403405082,"score_gpt":0.2566880030436153,"score_spread":0.2459182990095644,"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."}}