{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001806764,0.000181186,0.0004471089,0.0001373415,0.00005269902,0.0003838688,0.001401287,0.00005103542,0.0001244225],"category_scores_gemma":[0.04787536,0.0001484205,0.0001039242,0.0001129944,0.0001710643,0.000706797,0.0004755531,0.0002550174,0.000008257759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009777415,"about_ca_system_score_gemma":0.0003045586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000444489,"about_ca_topic_score_gemma":0.00001361706,"domain_scores_codex":[0.9970049,0.0001396711,0.001385341,0.0002869028,0.001018987,0.0001642304],"domain_scores_gemma":[0.9371899,0.0005159253,0.001278409,0.0001788323,0.06059149,0.0002454267],"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":[0.0006722696,0.0008244843,0.03460551,0.000632439,0.001861463,0.00009019345,0.001401863,0.0001712477,0.0001111852,0.04270081,0.6034604,0.3134681],"study_design_scores_gemma":[0.005506901,0.002367438,0.02446021,0.0004943832,0.000415961,0.00009695374,0.00005268802,0.0777421,0.0002263758,0.4303125,0.4576638,0.00066075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002547938,0.0003811539,0.9847207,0.001457833,0.009452365,0.0002480134,0.001147714,0.000006174332,0.00003809419],"genre_scores_gemma":[0.0186688,0.001028549,0.9760869,0.0008101583,0.003270862,0.000006168694,0.00005071202,0.00001531234,0.00006249722],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3876117,"threshold_uncertainty_score":0.9601448,"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."}}