{"id":"W4390602365","doi":"10.5539/nct.v8n2p41","title":"Reviewer Acknowledgements for Network and Communication Technologies Vol. 8, No. 2","year":2024,"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":"Telecommunications; Computer science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008171113,0.0002152504,0.0002685296,0.0001038268,0.0005542771,0.0005365734,0.002264394,0.0002574782,0.000005522998],"category_scores_gemma":[0.002150196,0.0001831273,0.00004889639,0.0004834553,0.000376359,0.0005282505,0.003017384,0.0004325832,0.00004634272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003694964,"about_ca_system_score_gemma":0.0000195459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000500237,"about_ca_topic_score_gemma":0.00001685597,"domain_scores_codex":[0.998713,0.00007258921,0.0003509508,0.0003978749,0.0001164214,0.000349166],"domain_scores_gemma":[0.9960116,0.0003700712,0.0001403839,0.001837261,0.001620718,0.00001996325],"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":[0.000003237199,0.00001447976,0.000126742,0.00009535476,0.00003682351,1.933514e-7,0.00008436661,0.00001830458,0.000005774908,0.1050922,0.4576015,0.436921],"study_design_scores_gemma":[0.0001177207,0.0001100601,0.0000702417,0.0007652857,0.00001963978,0.000001451796,0.0001477351,0.03228084,0.0001016635,0.1947204,0.771453,0.0002119566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.001335385,0.7849875,0.1704038,0.01923312,0.005738803,0.001778622,0.000007243641,0.01175035,0.004765159],"genre_scores_gemma":[0.2332757,0.3049907,0.4557361,0.0006149923,0.000577072,0.001061591,0.00005151427,0.00005712079,0.00363516],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.4799967,"threshold_uncertainty_score":0.7467715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0164453877491083,"score_gpt":0.2666086645957515,"score_spread":0.2501632768466432,"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."}}