{"id":"W4244345227","doi":"10.5539/nct.v4n1p52","title":"Reviewer Acknowledgements for Network and Communication Technologies Vol. 4, No. 1","year":2019,"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; Library science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007628703,0.000215019,0.0003213903,0.00007952475,0.0004660828,0.0002580775,0.002663132,0.0002692131,0.000009310918],"category_scores_gemma":[0.001893691,0.0001880911,0.00004422827,0.0003527437,0.0002893805,0.0004811277,0.003412021,0.0003764278,0.00008209776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003188385,"about_ca_system_score_gemma":0.00001476345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005385987,"about_ca_topic_score_gemma":0.00001362891,"domain_scores_codex":[0.9986945,0.00007890201,0.0003557671,0.0003788483,0.0001230701,0.000368926],"domain_scores_gemma":[0.9948487,0.0002989587,0.0002842346,0.002424737,0.002123647,0.0000197393],"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":[0.00001236635,0.00004323679,0.002958266,0.0001095857,0.00005397584,9.142866e-8,0.0001231105,0.0000664441,0.00002028331,0.105817,0.4590447,0.431751],"study_design_scores_gemma":[0.0003992855,0.0002293588,0.0004993425,0.0005594029,0.00001794395,0.000001158322,0.0002778795,0.02017297,0.0001782721,0.1511704,0.8261603,0.0003337492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.03051803,0.6834486,0.185489,0.03526171,0.01380469,0.008762236,0.00001610211,0.0196701,0.02302953],"genre_scores_gemma":[0.3979152,0.1379886,0.4576611,0.000846414,0.0003027553,0.0007475602,0.00004719245,0.00004825721,0.004442874],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.5454599,"threshold_uncertainty_score":0.7670132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362066062797138,"score_gpt":0.2501272044182338,"score_spread":0.2365065437902625,"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."}}