{"id":"W4248058920","doi":"10.5539/ijsp.v9n3p72","title":"Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 9, No. 3","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":"Statistics; Probability and statistics; Mathematics; Mathematical economics","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":[0.05515968,0.003153663,0.009091186,0.01182958,0.004838209,0.01228614,0.006118448,0.01802718,0.1157247],"category_scores_gemma":[0.5186233,0.001928482,0.006957444,0.005692589,0.003950498,0.006677462,0.004179562,0.01363555,0.0864862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005352265,"about_ca_system_score_gemma":0.01169993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003647986,"about_ca_topic_score_gemma":0.005544913,"domain_scores_codex":[0.9302804,0.01272993,0.01427963,0.004695079,0.0357062,0.002308768],"domain_scores_gemma":[0.1414448,0.03741789,0.01113434,0.006163463,0.7941724,0.009667103],"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":[0.0000284408,0.000003238032,0.00005782722,0.0002789892,0.00000905959,0.00003861893,0.00001861124,0.00001005149,0.00002636547,0.00009659259,0.9964682,0.002963892],"study_design_scores_gemma":[0.0003169133,0.00006425394,0.001189867,0.003678592,0.0001341066,0.001157869,0.0002684416,0.0005686092,0.0003455637,0.002938928,0.9891441,0.000192546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.00009753674,0.002224193,0.00163957,0.1240826,0.867591,0.0005279413,0.0008477052,0.0007032886,0.002286081],"genre_scores_gemma":[0.003417699,0.005304415,0.003925939,0.160178,0.7739047,0.002827851,0.001760876,0.001896515,0.04678398],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.1157247,"threshold_uncertainty_score":0.3871377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03270202149434939,"score_gpt":0.3127941662129982,"score_spread":0.2800921447186488,"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."}}