{"id":"W4230605178","doi":"10.5539/cis.v13n1p99","title":"Reviewer Acknowledgements for Computer and Information Science, Vol. 13, No. 1","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; Data science; Library 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":[0.03210099,0.002179904,0.004576624,0.009815952,0.004996402,0.01036337,0.004926831,0.01466686,0.1778196],"category_scores_gemma":[0.3390573,0.001466272,0.003361267,0.004500022,0.002075993,0.006339029,0.003307339,0.00884116,0.1145044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005210087,"about_ca_system_score_gemma":0.01129165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0036379,"about_ca_topic_score_gemma":0.00682487,"domain_scores_codex":[0.9637875,0.006136005,0.006066786,0.002656078,0.01964016,0.001713502],"domain_scores_gemma":[0.2818134,0.02462613,0.009728132,0.00600788,0.6666975,0.01112696],"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":[0.00001582869,0.000002891245,0.00004709922,0.0001947545,0.000003555302,0.00002451937,0.00001144684,0.000006319735,0.00001921525,0.00009109522,0.9961327,0.003450546],"study_design_scores_gemma":[0.0000951915,0.00003090822,0.0006082277,0.001529854,0.00004107726,0.0004408769,0.0001361058,0.0001590421,0.0001611106,0.0009778241,0.9957508,0.00006891978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001174576,0.003270812,0.001077768,0.1394343,0.8461755,0.0005255651,0.001014309,0.0005002798,0.007884018],"genre_scores_gemma":[0.004135482,0.01035812,0.00315638,0.1681319,0.6594062,0.002471684,0.003092168,0.00148396,0.1477642],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1778196,"threshold_uncertainty_score":0.5948657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02734111285944002,"score_gpt":0.2522371246577883,"score_spread":0.2248960117983483,"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."}}