{"id":"W4210434130","doi":"10.5539/ijsp.v10n1p106","title":"Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 10, No. 1","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","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":[0.001839144,0.0001870853,0.0004560463,0.0001407782,0.00005440925,0.0003982943,0.001429461,0.00005265423,0.0002412328],"category_scores_gemma":[0.04253032,0.0001535342,0.0001072821,0.0001166303,0.0001754647,0.0007139849,0.0004881333,0.0002423104,0.00001304531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001021842,"about_ca_system_score_gemma":0.0003170969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003901879,"about_ca_topic_score_gemma":0.0000120271,"domain_scores_codex":[0.9969346,0.0001443801,0.001411698,0.0002962854,0.001044248,0.0001687741],"domain_scores_gemma":[0.9434241,0.000539075,0.001308724,0.0001860522,0.05429076,0.0002512806],"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":[0.0007020221,0.0007396159,0.017553,0.0005486593,0.001635667,0.00008083926,0.001093478,0.000149162,0.00009508648,0.03422687,0.6838719,0.2593037],"study_design_scores_gemma":[0.004804139,0.002203662,0.01315397,0.0004246244,0.0003665724,0.00009122445,0.00004226,0.06887551,0.0001800165,0.3149057,0.5943703,0.0005819866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002030625,0.0003915493,0.9868293,0.001621756,0.007513026,0.0002565508,0.001289958,0.000006608572,0.00006058373],"genre_scores_gemma":[0.01414804,0.0009210474,0.9810305,0.0007413086,0.002913582,0.000006923227,0.00006419415,0.00001681002,0.0001575471],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2806789,"threshold_uncertainty_score":0.9655349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03404631328767121,"score_gpt":0.3139611341741333,"score_spread":0.2799148208864621,"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."}}