{"id":"W4200358049","doi":"10.5539/ijsp.v11n1p68","title":"Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 11, No. 1","year":2021,"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; Library science; 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":[0.002571595,0.0002166816,0.0006078663,0.0001145042,0.0000639243,0.0002193858,0.0004336183,0.00008933965,0.0006095463],"category_scores_gemma":[0.1710666,0.0001771193,0.0001154779,0.00007290496,0.0002704103,0.0002146492,0.0002086697,0.0002895852,0.000002894806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001503576,"about_ca_system_score_gemma":0.0004295773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003866791,"about_ca_topic_score_gemma":0.00003563964,"domain_scores_codex":[0.996694,0.0002783187,0.001684966,0.0002507445,0.0008909936,0.0002009747],"domain_scores_gemma":[0.9195521,0.003035819,0.001207724,0.0001609277,0.07584748,0.0001958891],"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":[0.0006541794,0.00145552,0.01964755,0.001512181,0.001140864,0.0001677888,0.0005563298,0.000003701742,0.0001635119,0.465156,0.2152647,0.2942777],"study_design_scores_gemma":[0.001427585,0.0003444542,0.003888102,0.0003956166,0.0001764195,0.00008647037,0.00003468601,0.0006503763,0.0001740069,0.9604911,0.0321568,0.0001743767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005122751,0.0003735769,0.9793954,0.0003748782,0.01206048,0.00027792,0.002298646,0.000004533864,0.00009176277],"genre_scores_gemma":[0.00251894,0.0008568347,0.9944199,0.0001307652,0.001876288,0.000007552244,0.00002609938,0.00001932614,0.0001442639],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4953351,"threshold_uncertainty_score":0.8359159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06271183517881176,"score_gpt":0.3894542073640744,"score_spread":0.3267423721852626,"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."}}