{"id":"W4414629746","doi":"10.3390/microwave1030009","title":"Acknowledgement to Reviewers of Microwave in 2025","year":2025,"lang":"en","type":"article","venue":"Microwave","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Russian Academy of Sciences; Instituto Tecnológico Metropolitano; Politechnika Warszawska; Chengdu University; Ural Branch, Russian Academy of Sciences; Anhui University of Science and Technology; New York Institute of Technology; York University; Università degli Studi della Campania Luigi Vanvitelli; Anhui University; Universidade Federal do ABC; Sejong University; University of Ottawa","keywords":"Acknowledgement; Microwave; Microwave transmission; Noise (video)","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":[],"consensus_categories":[],"category_scores_codex":[0.005049886,0.0001494453,0.0004884512,0.0008158187,0.00004898445,0.0002511933,0.002213383,0.000131441,0.0002920853],"category_scores_gemma":[0.007023018,0.0001213977,0.0001228251,0.002867925,0.00007384985,0.00037,0.0008050116,0.0002870827,0.0007491525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001262937,"about_ca_system_score_gemma":0.0002149257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007232814,"about_ca_topic_score_gemma":0.0003259457,"domain_scores_codex":[0.9972277,0.0002156768,0.001083903,0.0005693405,0.0005802151,0.0003231688],"domain_scores_gemma":[0.9979265,0.0005694219,0.0002029268,0.0007150855,0.0004914107,0.00009460687],"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":[0.00003118707,0.00005596223,0.0164639,0.0000279802,0.00001451645,0.00000348345,0.0007149833,0.00001671481,0.02071406,0.001970663,0.7438526,0.216134],"study_design_scores_gemma":[0.000628429,0.00003282449,0.01889361,0.0005781353,0.00001709836,0.000001301479,0.001245074,0.00006565994,0.08496685,0.02473443,0.8685765,0.0002601222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.413396,0.007436929,0.02782873,0.01725235,0.003243882,0.001377018,0.00003259733,0.00004396207,0.5293885],"genre_scores_gemma":[0.9466384,0.0001280191,0.00372629,0.00380407,0.00006980308,0.00002745207,0.000004649462,0.000009598391,0.04559171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5332424,"threshold_uncertainty_score":0.9629089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07166985319817365,"score_gpt":0.4191488098469588,"score_spread":0.3474789566487851,"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."}}