{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001131908,0.0001530455,0.0001798085,0.0004404365,0.0006305253,0.00359507,0.0008886686,0.00003869821,0.00001224628],"category_scores_gemma":[0.001349173,0.0001358751,0.00003360437,0.001328045,0.0005299909,0.08483039,0.00140305,0.00007433583,0.000388137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005108416,"about_ca_system_score_gemma":0.0004475541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.127953e-7,"about_ca_topic_score_gemma":3.002295e-7,"domain_scores_codex":[0.9983441,0.00001097043,0.0004892706,0.0003303742,0.0004493677,0.0003758914],"domain_scores_gemma":[0.9851337,0.00005292601,0.0001751506,0.0004664296,0.01392531,0.0002465017],"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":[0.000002896414,0.00002203855,0.0002387523,0.0001674376,0.00000473333,2.223948e-7,0.0008500021,0.00004333047,0.00001017303,0.04133947,0.07061081,0.8867101],"study_design_scores_gemma":[0.0004206121,0.0000732855,0.004637625,0.00005032312,0.000002259077,0.000007702345,0.00001023973,0.3251905,0.0002455051,0.0002818216,0.6688969,0.0001832425],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001867597,0.00009478767,0.9778504,0.0001724384,0.009439021,0.0003528745,0.00001995405,0.00007951451,0.01012336],"genre_scores_gemma":[0.04285783,0.001275129,0.917143,0.03565047,0.002225113,0.0001341881,0.0002488591,0.0000134052,0.0004519666],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8865269,"threshold_uncertainty_score":0.9974393,"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."}}