{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.004086064,0.0004219647,0.0004426097,0.002071825,0.001929127,0.009296684,0.002174143,0.0001121411,0.0000347005],"category_scores_gemma":[0.00236098,0.000390757,0.00008676425,0.005128473,0.00217977,0.1598387,0.003764931,0.000189611,0.003573238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001790384,"about_ca_system_score_gemma":0.0009148555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004364103,"about_ca_topic_score_gemma":6.016259e-7,"domain_scores_codex":[0.9957463,0.00002718833,0.001315339,0.0007412721,0.001082489,0.001087422],"domain_scores_gemma":[0.9800723,0.0001441733,0.0005539083,0.0008660895,0.01770639,0.0006571964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008345928,0.0000212219,0.0002047132,0.0004180377,0.000008106834,1.474335e-7,0.001621729,0.00009987768,0.00000229347,0.01312649,0.1436625,0.8408266],"study_design_scores_gemma":[0.0006066546,0.0002147356,0.006109654,0.0001499439,0.000006315461,0.00000394767,0.0000258774,0.5162214,0.00004073774,0.0002289251,0.4760717,0.0003200625],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0041469,0.0001709465,0.9450077,0.0003571147,0.0359074,0.001715934,0.0001410086,0.0002604445,0.01229254],"genre_scores_gemma":[0.3331927,0.02410785,0.510701,0.1023095,0.02293803,0.001216642,0.002302426,0.0001348714,0.003097021],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8405065,"threshold_uncertainty_score":0.9998544,"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."}}