{"id":"W4413155537","doi":"10.1109/comst.2025.3592430","title":"Editorial Fourth Bi-Monthly 2025 IEEE Communications Surveys and 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":"Telecommunications; Computer science; Geography; Environmental science; 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"],"consensus_categories":[],"category_scores_codex":[0.008397209,0.0005433066,0.000914425,0.0004925109,0.0009343865,0.0003020026,0.004314404,0.0006336373,0.0000167322],"category_scores_gemma":[0.00233895,0.0005897553,0.0001506792,0.001281272,0.000947621,0.0007996203,0.001127876,0.0009651508,0.00009425715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002896481,"about_ca_system_score_gemma":0.0002373741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000699057,"about_ca_topic_score_gemma":0.001668561,"domain_scores_codex":[0.9931965,0.00400177,0.001262916,0.0005141781,0.0003937424,0.0006309082],"domain_scores_gemma":[0.9856972,0.005058342,0.000239547,0.008304426,0.0005573314,0.0001431411],"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":[0.00002748364,0.0005132111,0.002428119,0.0002002003,0.0008848304,0.000002080031,0.0005330681,0.002723468,0.03754131,0.021396,0.8624184,0.07133185],"study_design_scores_gemma":[0.001236605,0.00005748758,0.002889929,0.000165647,0.000145385,0.000001436904,0.0001866432,0.001858011,0.004440055,0.006976618,0.9812391,0.0008030733],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.01422428,0.02578732,0.2263211,0.003740222,0.6760698,0.004402168,0.005573556,0.009205139,0.03467643],"genre_scores_gemma":[0.8961124,0.03449287,0.03275936,0.00009515178,0.03176328,0.001250111,0.001869817,0.0002329594,0.001424069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8818881,"threshold_uncertainty_score":0.9996554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04195917457783128,"score_gpt":0.3136560950721559,"score_spread":0.2716969204943246,"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."}}