{"id":"W4210434130","doi":"10.5539/ijsp.v10n1p106","title":"Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 10, No. 1","year":2020,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Probability and statistics; Statistics; Mathematics","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":[0.06088296,0.00330206,0.009947533,0.01302944,0.005187658,0.01190089,0.006157753,0.01787456,0.1082627],"category_scores_gemma":[0.5629996,0.002027764,0.006345602,0.006107357,0.003902437,0.007286104,0.004439142,0.01446263,0.08018468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005595998,"about_ca_system_score_gemma":0.01215013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003755938,"about_ca_topic_score_gemma":0.006027097,"domain_scores_codex":[0.9231476,0.01515352,0.01588668,0.005540267,0.0378272,0.002444763],"domain_scores_gemma":[0.1249715,0.04496138,0.01166573,0.006464208,0.8030861,0.008851061],"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":[0.00002911497,0.000003412659,0.00005890143,0.0003315847,0.000008928204,0.00003512389,0.0000228379,0.000009798665,0.00002481396,0.00009174176,0.9964908,0.002892937],"study_design_scores_gemma":[0.0002986274,0.00006729033,0.001265324,0.004170254,0.0001347902,0.001033052,0.0003222004,0.0004997506,0.0003080328,0.002590969,0.9891096,0.0002001092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00009676302,0.002478804,0.00140505,0.1348046,0.8571635,0.0005237869,0.0009200586,0.0006153918,0.001992076],"genre_scores_gemma":[0.003266654,0.005856869,0.003767577,0.1623211,0.7742971,0.003206299,0.001959563,0.001785471,0.04353936],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1082627,"threshold_uncertainty_score":0.362175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03404631328767121,"score_gpt":0.3139611341741333,"score_spread":0.2799148208864621,"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."}}