{"id":"W4235363241","doi":"10.5539/ijsp.v10n3p164","title":"Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 10, No. 3","year":2021,"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; Econometrics","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":[0.056876,0.003329726,0.01000278,0.01201027,0.005100776,0.01220293,0.006257371,0.01889144,0.1060933],"category_scores_gemma":[0.5224844,0.001996102,0.007038949,0.005953736,0.004122516,0.006817979,0.004252397,0.01468301,0.0798676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005667121,"about_ca_system_score_gemma":0.01226872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003993772,"about_ca_topic_score_gemma":0.006045201,"domain_scores_codex":[0.9283438,0.01329384,0.01457012,0.004911179,0.03650554,0.002375487],"domain_scores_gemma":[0.1350146,0.03949939,0.01115719,0.006202022,0.7987373,0.009389478],"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":[0.00002934878,0.000003321217,0.0000590221,0.0002938201,0.000009395691,0.00003964401,0.00002057091,0.0000101773,0.00002619687,0.00009109479,0.9966011,0.00281625],"study_design_scores_gemma":[0.0003332931,0.00006754214,0.001264931,0.003965461,0.0001474473,0.00118385,0.0003065147,0.000601435,0.0003468782,0.002925915,0.9886463,0.0002105269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001005982,0.002306349,0.001574842,0.1286197,0.8632284,0.0005470152,0.0008315003,0.0006958853,0.002095665],"genre_scores_gemma":[0.003501871,0.005592314,0.003841386,0.1688067,0.7666755,0.003130878,0.001743039,0.001914259,0.04479411],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1060933,"threshold_uncertainty_score":0.3549173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712445154658367,"score_gpt":0.3169225110437087,"score_spread":0.289798059497125,"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."}}