{"id":"W4409991136","doi":"10.1109/comst.2025.3560017","title":"Editorial Second Bi-Monthly 2025 IEEE Communications Surveys &amp; Tutorials","year":2025,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced Data and IoT Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Telecommunications; Data science","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.008922148,0.0006821881,0.001126426,0.0006337822,0.001072155,0.0003476399,0.007152391,0.00085622,0.000117322],"category_scores_gemma":[0.00279865,0.0007595915,0.0002703687,0.001839362,0.0009494036,0.000969035,0.001236589,0.001338075,0.0005034382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005216042,"about_ca_system_score_gemma":0.0003779407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006040119,"about_ca_topic_score_gemma":0.005955297,"domain_scores_codex":[0.9919437,0.00437416,0.00172605,0.0006184595,0.0005140382,0.0008235506],"domain_scores_gemma":[0.9800228,0.005860739,0.0003314005,0.01280885,0.000809924,0.0001662222],"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":[0.00001538924,0.0003166758,0.0005623733,0.0001005954,0.0004747992,7.009734e-7,0.0002507275,0.001387747,0.03449557,0.006450563,0.9449202,0.01102464],"study_design_scores_gemma":[0.0008937172,0.00003028055,0.001149263,0.0001177749,0.0001006703,9.55522e-7,0.00009612941,0.0003563323,0.005521876,0.004702503,0.9863068,0.0007237362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.01158858,0.01503644,0.1248948,0.002036045,0.7639263,0.003741673,0.008369217,0.009228935,0.06117795],"genre_scores_gemma":[0.8417481,0.02089464,0.04882509,0.000210911,0.0682724,0.002733352,0.007549549,0.0004802249,0.009285743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8301595,"threshold_uncertainty_score":0.9994855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05155535350439422,"score_gpt":0.3251082360560775,"score_spread":0.2735528825516833,"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."}}