{"id":"W4387709849","doi":"10.1109/tcomm.2023.3320966","title":"IEEE Transactions on Communications Publication Information","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Technology and Education Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Beijing Jiaotong University; Chinese University of Hong Kong; National and Kapodistrian University of Athens; Tsinghua University; Queen's University; Queen's University Belfast","keywords":"Computer science; Telecommunications; Computer network","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007829407,0.0003207261,0.0002811469,0.001633901,0.002472579,0.0003915322,0.005664959,0.0003398221,0.00007897329],"category_scores_gemma":[0.00003052909,0.0003542087,0.0002314336,0.004127379,0.0003850725,0.002406738,0.00001467025,0.001101409,0.006662521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002756234,"about_ca_system_score_gemma":0.0002920619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000113628,"about_ca_topic_score_gemma":0.0001658353,"domain_scores_codex":[0.997314,0.0004196557,0.0008891032,0.0004181804,0.0004713792,0.0004876743],"domain_scores_gemma":[0.9891157,0.0008795839,0.0003270686,0.008922194,0.0005526647,0.0002028202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005099937,0.003337866,0.00003226135,0.0000802611,0.0004625116,0.000001375931,0.01375466,0.01680727,0.001317124,0.1451023,0.04618872,0.7728646],"study_design_scores_gemma":[0.002170337,0.0005494647,0.001048424,0.0002679664,0.0001693233,0.0001072226,0.003211255,0.4400853,0.0222172,0.007199991,0.5211161,0.001857441],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003982435,0.00004534051,0.9418531,0.04587346,0.001355767,0.0007409181,0.0001325399,0.002891465,0.006709155],"genre_scores_gemma":[0.9803717,0.0009614071,0.01314841,0.001314072,0.00002174355,0.001706983,0.0001084078,0.00003117716,0.002336114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9799734,"threshold_uncertainty_score":0.999891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0607253098547467,"score_gpt":0.3039589558871199,"score_spread":0.2432336460323732,"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."}}