{"id":"W4386558689","doi":"10.1109/lwc.2023.3306090","title":"IEEE Wireless Communications Letters Publication Information","year":2023,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Oak Ridge National Laboratory; University of Essex; University of Wollongong; Pontifícia Universidade Católica do Rio de Janeiro; University of Bristol; Polytechnique Montréal; National Institute of Informatics; University of Miami","keywords":"Computer science; Wireless; Computer network; Telecommunications","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001197652,0.0002824396,0.0004686569,0.0009598888,0.001171706,0.000493077,0.003368309,0.0001165198,0.0002719786],"category_scores_gemma":[0.00008320501,0.0003635976,0.0002097342,0.001430657,0.0007611819,0.00196317,0.0006507362,0.0003886616,0.03641971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003151417,"about_ca_system_score_gemma":0.00003260142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004403841,"about_ca_topic_score_gemma":0.00006778798,"domain_scores_codex":[0.9975874,0.00009031645,0.001218776,0.0004354889,0.0001104464,0.0005575275],"domain_scores_gemma":[0.9940487,0.0002827795,0.0007879324,0.004607778,0.0001387361,0.0001340724],"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":[0.000009538293,0.000139529,0.00437,0.00004403554,0.0002242166,6.929556e-7,0.00423523,0.0005030163,0.001743937,0.105167,0.8788546,0.004708139],"study_design_scores_gemma":[0.001044833,0.00001595083,0.006393731,0.00005566999,0.00003366366,0.000005272996,0.001568042,0.05734187,0.0002449862,0.0006730901,0.9317044,0.0009184727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5597746,0.0007585571,0.01350488,0.2428191,0.007981385,0.002110468,0.003240347,0.002041227,0.1677695],"genre_scores_gemma":[0.9807755,0.002605693,0.001719106,0.008101513,0.000115784,0.0005733758,0.001218175,0.00005305232,0.004837806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4210009,"threshold_uncertainty_score":0.9998816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06812218074900049,"score_gpt":0.2456998906271752,"score_spread":0.1775777098781747,"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."}}