{"id":"W4255826610","doi":"10.5539/cis.v14n1p54","title":"Reviewer Acknowledgements for Computer and Information Science, Vol. 14, No. 1","year":2021,"lang":"en","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":"Computer science; Library science; Information retrieval; Data 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":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001132322,0.000153063,0.0001797937,0.0004405555,0.0006305692,0.003589125,0.0008891209,0.00003870087,0.00001249572],"category_scores_gemma":[0.001349466,0.0001359031,0.0000336061,0.001328444,0.0005299604,0.08478208,0.00140387,0.00007434812,0.0003847372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005092074,"about_ca_system_score_gemma":0.000447354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.054051e-7,"about_ca_topic_score_gemma":2.985886e-7,"domain_scores_codex":[0.9983442,0.00001097896,0.0004890936,0.0003304902,0.0004492929,0.0003759142],"domain_scores_gemma":[0.9852282,0.00005331467,0.0001751496,0.0004670533,0.01382976,0.0002465487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002894729,0.00002214126,0.0002395091,0.0001658664,0.000004756746,2.211887e-7,0.0008535981,0.00004350442,0.00001019585,0.04172339,0.07331397,0.88362],"study_design_scores_gemma":[0.000417499,0.00007364056,0.004677558,0.00005059654,0.000002284083,0.000007789798,0.00001031733,0.3260933,0.0002421711,0.000282199,0.6679587,0.0001839055],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001858198,0.00009447354,0.9779614,0.000173248,0.009375312,0.0003531857,0.00002022708,0.00007966576,0.01008428],"genre_scores_gemma":[0.0421716,0.001251345,0.9181352,0.0354126,0.002188512,0.0001352539,0.0002505111,0.0000133082,0.0004416837],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8834361,"threshold_uncertainty_score":0.9974452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0214864686251845,"score_gpt":0.256499374474908,"score_spread":0.2350129058497235,"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."}}