{"id":"W4234230271","doi":"10.5539/cis.v14n2p109","title":"Reviewer Acknowledgements for Computer and Information Science, Vol. 14, No. 2","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","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":[0.02943841,0.00244061,0.005130045,0.00979941,0.005091432,0.01028498,0.004807888,0.01479887,0.1624729],"category_scores_gemma":[0.3103754,0.001503333,0.003377694,0.004240979,0.002132529,0.005990608,0.003273032,0.008666038,0.1072202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004811097,"about_ca_system_score_gemma":0.009588115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003296293,"about_ca_topic_score_gemma":0.005582172,"domain_scores_codex":[0.9645203,0.005829777,0.005961405,0.002687968,0.01939863,0.001601966],"domain_scores_gemma":[0.2971323,0.02463233,0.009459883,0.006359829,0.6514326,0.01098299],"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":[0.00001866681,0.000003258427,0.00005249119,0.0001945907,0.000004379147,0.00003666119,0.00001359094,0.000006747331,0.00002539943,0.00008811099,0.9960073,0.003548945],"study_design_scores_gemma":[0.0001181324,0.0000356666,0.0006680346,0.001454645,0.000045403,0.0005947814,0.000157828,0.0002026216,0.0001915151,0.0008943093,0.995561,0.00007598164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001295234,0.002929287,0.001043676,0.1185527,0.8688033,0.0005235287,0.0007596174,0.0004670081,0.006791536],"genre_scores_gemma":[0.004431676,0.008676908,0.0027095,0.1474192,0.6898434,0.002406687,0.002349699,0.001369412,0.1407934],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1624729,"threshold_uncertainty_score":0.5435261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069090286130638,"score_gpt":0.2559217234238629,"score_spread":0.2352308205625565,"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."}}