{"id":"W4250394347","doi":"10.5539/ijsp.v9n5p97","title":"Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 9, No. 5","year":2020,"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":[0.05483632,0.00309009,0.008655279,0.01228348,0.004667348,0.01228151,0.006074314,0.01832798,0.1199952],"category_scores_gemma":[0.5229257,0.00189147,0.006761727,0.005340553,0.003673641,0.006752255,0.004210025,0.01299224,0.08574633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005271578,"about_ca_system_score_gemma":0.01082571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003448943,"about_ca_topic_score_gemma":0.005308425,"domain_scores_codex":[0.9263147,0.01344591,0.01548209,0.0049731,0.03742392,0.002360391],"domain_scores_gemma":[0.1470792,0.03673549,0.01155211,0.005954053,0.7888811,0.009798065],"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":[0.00002931836,0.000003417093,0.0000621599,0.0002964654,0.000009868741,0.00003947315,0.00001882815,0.00001019213,0.00002541775,0.00009924403,0.996282,0.003123606],"study_design_scores_gemma":[0.0003035995,0.00006910815,0.001289971,0.003923223,0.000137768,0.001102677,0.0002753788,0.000551873,0.0003263754,0.002546837,0.9892851,0.0001881588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00009278744,0.002193975,0.001464563,0.1189731,0.8732883,0.0004716111,0.0007755517,0.0006079658,0.002132183],"genre_scores_gemma":[0.003381145,0.004896,0.003562413,0.1500981,0.7869396,0.002409406,0.001732991,0.001533227,0.04544714],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1199952,"threshold_uncertainty_score":0.4014241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03270677786248818,"score_gpt":0.3129234663887875,"score_spread":0.2802166885262993,"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."}}