{"id":"W4293241499","doi":"10.5539/ijsp.v11n3p51","title":"Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 11, No. 3","year":2022,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003821392,0.0002089089,0.0005582079,0.0001674503,0.0001274666,0.0001527999,0.000630707,0.00005234211,0.001019925],"category_scores_gemma":[0.09596797,0.0001760434,0.0001089836,0.0000759934,0.0002538192,0.0001827632,0.0003571712,0.0003824857,0.000001678639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000248026,"about_ca_system_score_gemma":0.000314562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006719746,"about_ca_topic_score_gemma":0.00001732705,"domain_scores_codex":[0.9963999,0.000359063,0.001656873,0.0002370271,0.001144031,0.0002031019],"domain_scores_gemma":[0.9556215,0.002864627,0.001501137,0.0001532714,0.03968246,0.0001770104],"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":[0.001186956,0.001589158,0.01791724,0.0009744447,0.0009462826,0.00008372953,0.0008068684,0.00001549505,0.00006959942,0.4268479,0.3062876,0.2432747],"study_design_scores_gemma":[0.001463367,0.0007319959,0.002537768,0.0001357662,0.0001440617,0.00007020729,0.0000533296,0.001124835,0.00002863078,0.937961,0.05557761,0.0001714008],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006510479,0.0002542898,0.9734766,0.0003501712,0.01463732,0.0004500941,0.00424386,0.000005432551,0.00007175127],"genre_scores_gemma":[0.005718137,0.0003486199,0.9920246,0.0001449334,0.001563435,0.00002268645,0.00002764657,0.00002210316,0.000127835],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5111131,"threshold_uncertainty_score":0.9998932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05958565031299243,"score_gpt":0.3829228432457368,"score_spread":0.3233371929327443,"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."}}