{"id":"W4206840280","doi":"10.5539/cis.v14n3p87","title":"Reviewer Acknowledgements for Computer and Information Science, Vol. 14, No. 3","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; Information retrieval; Library science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02931007,0.002291611,0.004998133,0.009147135,0.005209029,0.01021101,0.004897891,0.01495216,0.1643376],"category_scores_gemma":[0.302929,0.00141427,0.003649637,0.004263952,0.002230434,0.00545352,0.003160485,0.008640182,0.1094406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005164611,"about_ca_system_score_gemma":0.01037987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003708038,"about_ca_topic_score_gemma":0.006174037,"domain_scores_codex":[0.965291,0.00548823,0.005840748,0.002471122,0.019316,0.001592925],"domain_scores_gemma":[0.2950998,0.02273715,0.009357144,0.006141758,0.6558132,0.01085092],"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":[0.00001817413,0.000003156257,0.00005663619,0.0001831547,0.000004364437,0.00003752427,0.00001374228,0.00000714731,0.00002511086,0.00009710313,0.9957904,0.003763516],"study_design_scores_gemma":[0.0001141002,0.00003258772,0.0006483265,0.00141714,0.00004713564,0.0005976037,0.0001555618,0.0002148227,0.0001998196,0.00104348,0.9954532,0.00007614416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001465358,0.002984568,0.00126801,0.1278325,0.8578703,0.0006176924,0.0008057749,0.0005567726,0.007917929],"genre_scores_gemma":[0.005211242,0.009404187,0.003224764,0.1599602,0.6644778,0.002594647,0.002443901,0.001598322,0.1510849],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1643376,"threshold_uncertainty_score":0.5497639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0210682671680044,"score_gpt":0.2560786514246459,"score_spread":0.2350103842566415,"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."}}