{"id":"W4206004657","doi":"10.5539/ijsp.v10n6p67","title":"Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 10, No. 6","year":2021,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Probability and statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05568886,0.003276974,0.009600258,0.01192859,0.004808203,0.01159987,0.006260394,0.0184258,0.107793],"category_scores_gemma":[0.5320628,0.001962369,0.006706477,0.005581558,0.003781026,0.00709786,0.004319584,0.01505918,0.08292861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005172916,"about_ca_system_score_gemma":0.01098454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003540394,"about_ca_topic_score_gemma":0.005516715,"domain_scores_codex":[0.9281458,0.01321709,0.014895,0.004804906,0.03667149,0.002265721],"domain_scores_gemma":[0.1371622,0.03958189,0.0114218,0.006111154,0.7960513,0.009671746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002896988,0.000003439955,0.00005910921,0.0003017453,0.000009033191,0.00003899283,0.00001956706,0.000009973747,0.00002537822,0.00008899844,0.9965758,0.002838827],"study_design_scores_gemma":[0.0002977556,0.0000691852,0.001241072,0.003922652,0.0001323079,0.001151733,0.0002904013,0.0005478528,0.0003235314,0.002538999,0.9892893,0.0001952956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00009060145,0.002232275,0.001348327,0.1265613,0.8660535,0.0004437723,0.0007884133,0.0005806043,0.00190136],"genre_scores_gemma":[0.003012309,0.005488112,0.003503008,0.1511064,0.7872139,0.002617029,0.001740842,0.001597573,0.04372076],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.107793,"threshold_uncertainty_score":0.3606034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712441763972744,"score_gpt":0.3170260878216942,"score_spread":0.2899016701819667,"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."}}