{"id":"W4385422357","doi":"10.5539/ijsp.v12n4p81","title":"Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 12, No. 4","year":2023,"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":"Probability and statistics; 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":[0.003662254,0.0002188508,0.000575752,0.0002111179,0.00007049665,0.0001866223,0.0005285667,0.00008866411,0.0003371008],"category_scores_gemma":[0.1493865,0.000173791,0.0001071155,0.00009453085,0.00029282,0.000214739,0.0002141836,0.0003043498,0.000008847811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001361522,"about_ca_system_score_gemma":0.0002486411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004338831,"about_ca_topic_score_gemma":0.00001872925,"domain_scores_codex":[0.9967093,0.0002213522,0.001659034,0.0002356728,0.0009444079,0.0002302092],"domain_scores_gemma":[0.9508685,0.003564706,0.001228476,0.000150968,0.04399065,0.0001967177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000809196,0.000704541,0.01377476,0.001267597,0.0009514441,0.00008019387,0.0006336119,0.000005783214,0.00007434616,0.257537,0.3626809,0.3614806],"study_design_scores_gemma":[0.001330186,0.0005185084,0.007568758,0.000344035,0.0001339382,0.00003115471,0.00003174015,0.001623111,0.00003982656,0.9646618,0.02354811,0.0001688326],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005638901,0.0001430516,0.9770147,0.0003404897,0.01364828,0.0004286403,0.002668807,0.00001098515,0.0001062105],"genre_scores_gemma":[0.002951611,0.00103401,0.9935735,0.00009209024,0.002094396,0.00001272981,0.00003151187,0.00002436372,0.0001857853],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7071248,"threshold_uncertainty_score":0.8577786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0766843636289286,"score_gpt":0.397946975051598,"score_spread":0.3212626114226694,"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."}}