{"id":"W4398226292","doi":"10.1109/comst.2024.3396689","title":"Editorial: Second Quarter 2024 IEEE Communications Surveys and Tutorials","year":2024,"lang":"en","type":"editorial","venue":"IEEE Communications Surveys & Tutorials","topic":"Internet of Things and AI","field":"Computer Science","cited_by":1,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.04305742,0.001541664,0.00237302,0.0009036676,0.001419721,0.004824603,0.02095461,0.002836009,0.0001335587],"category_scores_gemma":[0.003618132,0.001569606,0.0007195311,0.001378141,0.001244635,0.001881431,0.005908643,0.004832964,0.001308111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007051083,"about_ca_system_score_gemma":0.002082366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003101976,"about_ca_topic_score_gemma":0.003627147,"domain_scores_codex":[0.9698576,0.02089008,0.003161348,0.002217967,0.002519053,0.001353936],"domain_scores_gemma":[0.9565992,0.01959731,0.001610013,0.01874568,0.002877291,0.0005704784],"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":[0.000006730459,0.0002689485,0.000006000927,0.0002025906,0.0005002288,0.000005576672,0.001267861,0.00000274711,0.000571218,0.003900158,0.9911671,0.00210088],"study_design_scores_gemma":[0.0007658883,0.0002026715,0.00002137381,0.0005801928,0.000247796,0.000008272401,0.00005063352,0.000495078,0.0001867365,0.005517104,0.9903435,0.001580793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002232963,0.005514228,0.01024834,0.001961953,0.9710411,0.001237326,0.00240889,0.000939591,0.006626178],"genre_scores_gemma":[0.001878766,0.005212957,0.006393047,0.00008865507,0.9669999,0.000636826,0.00125089,0.0002736154,0.0172653],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03943929,"threshold_uncertainty_score":0.9998803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03189491467655704,"score_gpt":0.3163111523585259,"score_spread":0.2844162376819688,"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."}}