{"id":"W4288967721","doi":"10.5539/nct.v7n1p61","title":"Reviewer Acknowledgements for Network and Communication Technologies Vol. 7, No. 1","year":2022,"lang":"en","type":"article","venue":"Network and Communication Technologies","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Telecommunications; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02929939,0.002379723,0.004494551,0.008636381,0.004351958,0.009171478,0.004816081,0.01661625,0.1133065],"category_scores_gemma":[0.3100877,0.001388334,0.003617613,0.003799248,0.001921351,0.006047553,0.003619224,0.0101805,0.06922285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005819933,"about_ca_system_score_gemma":0.01128775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004029392,"about_ca_topic_score_gemma":0.007485482,"domain_scores_codex":[0.9635762,0.006067642,0.005453137,0.002399377,0.02073774,0.001765914],"domain_scores_gemma":[0.3212861,0.02608971,0.01027027,0.005089186,0.6268053,0.01045952],"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":[0.00001494178,0.000003114878,0.00004329059,0.0002545931,0.000003979183,0.00004111955,0.00001713146,0.000007175724,0.00002567257,0.0001073059,0.9959274,0.003554198],"study_design_scores_gemma":[0.00006582116,0.00003286863,0.0004390122,0.001850859,0.00003776725,0.000625163,0.0001693941,0.0001200452,0.0001517077,0.0007990635,0.9956441,0.00006423911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00008239623,0.003869845,0.0007975039,0.1473951,0.8420731,0.0003379086,0.0005263714,0.0003213011,0.004596484],"genre_scores_gemma":[0.003381787,0.01069624,0.002119542,0.2039716,0.6841766,0.001571571,0.001550008,0.001007535,0.09152517],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1133065,"threshold_uncertainty_score":0.3790479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169485484250699,"score_gpt":0.2537134207704629,"score_spread":0.236764872345393,"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."}}