{"id":"W7117883823","doi":"10.5539/ijsp.v14n4p76","title":"Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 14, 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":"Official statistics; Summary statistics","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":[0.05582229,0.003381843,0.009930936,0.01238479,0.004821517,0.01083346,0.006353421,0.0182143,0.08805237],"category_scores_gemma":[0.533596,0.001916046,0.006417172,0.005397671,0.004224318,0.006926439,0.004260917,0.01382121,0.06033325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005503652,"about_ca_system_score_gemma":0.01155786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003724376,"about_ca_topic_score_gemma":0.005249329,"domain_scores_codex":[0.9302261,0.01387541,0.01480321,0.004631674,0.03425023,0.002213293],"domain_scores_gemma":[0.13799,0.0397927,0.01173749,0.006548333,0.7953567,0.008574762],"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":[0.00003867154,0.000004600431,0.00008688028,0.0004078872,0.0000137305,0.0000608149,0.00003190927,0.00001266324,0.00003827915,0.0001233577,0.9957988,0.003382391],"study_design_scores_gemma":[0.000372638,0.00007651751,0.001517001,0.004443625,0.0001876537,0.001419998,0.0004510925,0.0007108711,0.0004399272,0.003349642,0.9867865,0.0002444719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001359967,0.002408187,0.001678374,0.1286892,0.8634638,0.00053765,0.0007042142,0.000542053,0.001840474],"genre_scores_gemma":[0.004776387,0.006181058,0.004854189,0.1635319,0.7681309,0.003526746,0.001609451,0.001681843,0.04570755],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.08805237,"threshold_uncertainty_score":0.29522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0510575693266116,"score_gpt":0.3949496631071003,"score_spread":0.3438920937804887,"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."}}