{"id":"W4235931669","doi":"10.5539/cis.v13n3p103","title":"Reviewer Acknowledgements for Computer and Information Science, Vol. 13, No. 3","year":2020,"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","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":[0.02840964,0.00217871,0.004317428,0.008608854,0.00478353,0.01039831,0.00482563,0.01476445,0.1816253],"category_scores_gemma":[0.2880368,0.001381553,0.003611372,0.004184119,0.002084466,0.005717427,0.003083754,0.008327985,0.1186068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004953762,"about_ca_system_score_gemma":0.01089576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003695965,"about_ca_topic_score_gemma":0.006625061,"domain_scores_codex":[0.9677039,0.0050388,0.005259297,0.002210062,0.01818921,0.001598774],"domain_scores_gemma":[0.3146755,0.0202488,0.008937356,0.005791285,0.6387851,0.01156191],"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":[0.00001672937,0.000002995919,0.00005109694,0.0001706723,0.000003825541,0.00003062603,0.00001062639,0.000006828973,0.00002203854,0.0000979734,0.9959291,0.003657464],"study_design_scores_gemma":[0.0001038299,0.00003060207,0.0006000435,0.001312234,0.00004300443,0.0005209026,0.0001293354,0.0001903507,0.0001877757,0.001079863,0.9957334,0.00006857954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001371992,0.003041312,0.00130044,0.1294742,0.8544492,0.0005788208,0.0009319426,0.0005882147,0.00949861],"genre_scores_gemma":[0.00479374,0.009689001,0.003329905,0.161439,0.6478158,0.002304841,0.002763044,0.001615123,0.1662495],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1816253,"threshold_uncertainty_score":0.6075972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02681177213026827,"score_gpt":0.2518220705176151,"score_spread":0.2250102983873468,"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."}}