{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002282184,0.000181042,0.0004519633,0.0001696802,0.00006178122,0.0004741542,0.001131859,0.00005738312,0.000319985],"category_scores_gemma":[0.04400613,0.0001527892,0.0001159204,0.0001253564,0.000170177,0.0006887108,0.0005227051,0.000231933,0.000009420178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001394399,"about_ca_system_score_gemma":0.0005361624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000042214,"about_ca_topic_score_gemma":0.00003611054,"domain_scores_codex":[0.9968494,0.0001845226,0.00141486,0.000304104,0.001069684,0.0001774073],"domain_scores_gemma":[0.9127097,0.0006406708,0.001173605,0.0002518449,0.08505068,0.0001735574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004316117,0.001440315,0.02222715,0.0005553568,0.00219853,0.0002218341,0.0006617843,0.0001200584,0.0001516492,0.06209416,0.5518768,0.3580207],"study_design_scores_gemma":[0.003709622,0.0008837121,0.01683076,0.0005185312,0.0003188754,0.0002388538,0.00003887169,0.02025775,0.0003535475,0.4917696,0.4646142,0.0004656609],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002872202,0.0007545318,0.9814333,0.0007221666,0.01265469,0.0001898115,0.00127217,0.000005133018,0.00009595597],"genre_scores_gemma":[0.006653058,0.001429942,0.988928,0.0003037407,0.002011138,0.000006383863,0.00008886675,0.00001439111,0.0005645163],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4296754,"threshold_uncertainty_score":0.9640466,"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."}}