{"id":"W4401747345","doi":"10.1109/comst.2024.3430588","title":"Editorial: Third Quarter 2024 IEEE Communications Surveys and Tutorials","year":2024,"lang":"en","type":"editorial","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced Data and IoT Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Telecommunications; Computer science; Geography; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003691652,0.002956467,0.002205196,0.003843909,0.001986257,0.006489669,0.002154288,0.006455787,0.0555448],"category_scores_gemma":[0.01399357,0.0007294216,0.001547457,0.001864863,0.00129447,0.003997743,0.001126549,0.009320455,0.0664364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002252499,"about_ca_system_score_gemma":0.002526794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001309791,"about_ca_topic_score_gemma":0.003942445,"domain_scores_codex":[0.9966971,0.0004744998,0.0003062971,0.0003985793,0.001860805,0.0002628317],"domain_scores_gemma":[0.9871649,0.002352801,0.0006966929,0.0003166993,0.007558514,0.001910399],"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":[0.000009883182,0.000003948948,0.000006774432,0.0000479353,0.000002331282,0.00001750083,0.000002920168,0.00001061944,0.0000237132,0.0001593574,0.9961796,0.003535313],"study_design_scores_gemma":[0.00001275874,0.00001439566,0.00008067224,0.0001555396,0.00000784109,0.00007957574,0.00001671119,0.00004957046,0.00005144483,0.0004591529,0.9990655,0.000006999504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003305826,0.004393026,0.0002416628,0.02770919,0.9622005,0.00002304858,0.0001005669,0.00009483782,0.005204074],"genre_scores_gemma":[0.0005203596,0.005899658,0.0001907639,0.02165784,0.9145622,0.00004273474,0.0001315811,0.0001115316,0.05688323],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.0555448,"threshold_uncertainty_score":0.1858159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03290008681825537,"score_gpt":0.3133913139782629,"score_spread":0.2804912271600075,"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."}}