{"id":"W4403906640","doi":"10.5539/ijsp.v13n3p66","title":"Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 13, No. 3","year":2024,"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; Mathematics; Probability and statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003158393,0.0002260727,0.0005376979,0.0001853787,0.00005307079,0.0003413667,0.0004686207,0.00008892043,0.0004757893],"category_scores_gemma":[0.1025132,0.0001727642,0.0001185402,0.00007646392,0.0003694183,0.0002700491,0.0001637909,0.0003681611,0.000006148803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001715841,"about_ca_system_score_gemma":0.0003301727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006375903,"about_ca_topic_score_gemma":0.00002153259,"domain_scores_codex":[0.9968529,0.0001980365,0.001630023,0.0002546462,0.0008676928,0.0001966741],"domain_scores_gemma":[0.9545289,0.00355754,0.0007701966,0.0001343482,0.04082353,0.0001854525],"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":[0.0004375662,0.0004893398,0.002975274,0.001720248,0.0009065456,0.00008077668,0.000465709,0.000002273055,0.00004099805,0.3993747,0.2081521,0.3853545],"study_design_scores_gemma":[0.0008019624,0.0005047799,0.001510713,0.0007139346,0.000192699,0.00006211494,0.0000238288,0.00241854,0.00004159059,0.9531436,0.04042036,0.0001658477],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002269796,0.0008581308,0.9755985,0.0003892747,0.01782718,0.0003578075,0.002583,0.000008651519,0.0001077228],"genre_scores_gemma":[0.004469902,0.001242477,0.9913197,0.00008291582,0.002682185,0.00001032088,0.00001887933,0.00002499783,0.0001486216],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5537689,"threshold_uncertainty_score":0.9050468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05947685874834614,"score_gpt":0.3954810672195632,"score_spread":0.336004208471217,"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."}}