{"id":"W4406024725","doi":"10.5539/ijsp.v13n4p81","title":"Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 13, No. 4","year":2025,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics; Probability and statistics; Mathematics; Mathematical economics; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002931986,0.0002176546,0.0005984943,0.000198239,0.00006795282,0.0001949623,0.0005466241,0.00009246793,0.0002821623],"category_scores_gemma":[0.1478389,0.0001730897,0.0001053015,0.00008281787,0.000396942,0.0001955807,0.0002029892,0.0003211838,0.000002344306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001715218,"about_ca_system_score_gemma":0.0003597998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007678052,"about_ca_topic_score_gemma":0.00003081041,"domain_scores_codex":[0.9969093,0.0002240219,0.001724423,0.0002313528,0.0007188924,0.0001919868],"domain_scores_gemma":[0.9400205,0.003309367,0.001146993,0.000153986,0.0552239,0.0001452665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007392279,0.0007535468,0.01176284,0.00113782,0.0008920627,0.00002553822,0.0002548694,0.000002567836,0.00003468693,0.4725558,0.204152,0.307689],"study_design_scores_gemma":[0.001491476,0.0003866901,0.005016504,0.0005452554,0.0001903673,0.00001839158,0.00002731686,0.0009361992,0.00005770702,0.966199,0.0249855,0.0001455335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00256451,0.0003680447,0.9813673,0.0004357594,0.01300698,0.000399509,0.001651654,0.000005021084,0.0002011528],"genre_scores_gemma":[0.003513201,0.0008317527,0.9940091,0.0001626872,0.001237533,0.00001078087,0.00001484277,0.00001462803,0.0002054692],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4936432,"threshold_uncertainty_score":0.8593392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05066828196489285,"score_gpt":0.394346623650287,"score_spread":0.3436783416853941,"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."}}