{"id":"W4417076811","doi":"10.5539/cis.v16n1p73","title":"Reviewer Acknowledgements for Computer and Information Science, Vol. 16, No. 1","year":2023,"lang":"","type":"article","venue":"Computer and Information Science","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information system; Computer Applications; Information technology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03213236,0.002343204,0.005308127,0.01015859,0.005239488,0.01029632,0.004951595,0.01465714,0.161797],"category_scores_gemma":[0.3423992,0.001468429,0.003426182,0.004580175,0.002184558,0.005994556,0.003285638,0.009049618,0.1081745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005412031,"about_ca_system_score_gemma":0.01068278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003675565,"about_ca_topic_score_gemma":0.006390025,"domain_scores_codex":[0.9634551,0.006161229,0.006447818,0.002763941,0.01954632,0.001625554],"domain_scores_gemma":[0.2788934,0.0253502,0.01028589,0.006149917,0.6688399,0.01048067],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000172738,0.000002855568,0.0000501069,0.0002035179,0.000004108814,0.00003179871,0.00001461268,0.00000635565,0.00002253095,0.00008913834,0.996075,0.003482707],"study_design_scores_gemma":[0.0001139791,0.00003398042,0.0006563019,0.001654784,0.00004807813,0.0005546453,0.0001623662,0.0001788836,0.0001773901,0.0009968005,0.9953458,0.00007711684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.000123221,0.003234827,0.001010091,0.1309901,0.856536,0.0005375348,0.0008316597,0.0004672878,0.006269255],"genre_scores_gemma":[0.004535275,0.01014724,0.00291995,0.1626902,0.6812204,0.002623795,0.002607747,0.001494206,0.1317611],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9678676,"threshold_uncertainty_score":0.5412649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03086163328423313,"score_gpt":0.2726689922037875,"score_spread":0.2418073589195544,"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."}}