{"id":"W4313469948","doi":"10.5539/ijsp.v12n1p66","title":"Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 12, No. 1","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; 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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003845412,0.0002088374,0.0005576331,0.0001660046,0.0001275626,0.0001511986,0.0006295086,0.0000527467,0.00106739],"category_scores_gemma":[0.09584201,0.0001759425,0.0001089539,0.00006442305,0.0002536497,0.000182304,0.0003571959,0.000429706,0.000001838852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002493721,"about_ca_system_score_gemma":0.0003143778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005641848,"about_ca_topic_score_gemma":0.00001354231,"domain_scores_codex":[0.9963977,0.0003587254,0.001656387,0.0002368928,0.001147256,0.0002029987],"domain_scores_gemma":[0.9594287,0.002865228,0.00150517,0.000153775,0.03586957,0.000177574],"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":[0.001472286,0.001589388,0.01342891,0.0009372162,0.001087519,0.00008101397,0.000851129,0.00001506526,0.00006690658,0.349914,0.298553,0.3320036],"study_design_scores_gemma":[0.001491712,0.000873393,0.002876068,0.0001368779,0.000145832,0.0000699153,0.00005162509,0.001134574,0.00002329537,0.9452525,0.04777284,0.0001713961],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004167938,0.0002601467,0.9761623,0.0003018841,0.01438074,0.000452946,0.004158445,0.000005378019,0.0001101974],"genre_scores_gemma":[0.004944717,0.0003971152,0.9927405,0.0001480228,0.001554825,0.0000230278,0.0000277347,0.00002209092,0.000141932],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5953385,"threshold_uncertainty_score":0.9998457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06321294672193459,"score_gpt":0.3816604653576856,"score_spread":0.3184475186357509,"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."}}