{"id":"W4210505637","doi":"10.5539/ijsp.v10n5p98","title":"Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 10, No. 5","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","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":[0.05661033,0.003285598,0.00953828,0.01242536,0.004931015,0.0122403,0.006224996,0.01914277,0.1101631],"category_scores_gemma":[0.5265397,0.001956241,0.006814102,0.005609029,0.003827317,0.006920741,0.004305635,0.01401003,0.07910852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00562307,"about_ca_system_score_gemma":0.01146949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003782982,"about_ca_topic_score_gemma":0.00578996,"domain_scores_codex":[0.9247475,0.01397762,0.01567992,0.005197333,0.03797074,0.002426902],"domain_scores_gemma":[0.1398022,0.03876508,0.01153019,0.005962903,0.7944312,0.009508368],"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":[0.00003006865,0.000003486027,0.00006331845,0.0003096645,0.00001017532,0.00004063255,0.00002086691,0.00001029503,0.00002506246,0.00009384851,0.9964224,0.002970157],"study_design_scores_gemma":[0.0003159239,0.00007157931,0.001352969,0.004178232,0.0001503123,0.001122855,0.0003153267,0.000583527,0.000325327,0.002546924,0.9888324,0.0002046666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00009488406,0.002281132,0.001409662,0.123387,0.8690411,0.0004833262,0.0007535407,0.0006017177,0.001947571],"genre_scores_gemma":[0.003483074,0.005205016,0.003482592,0.1570363,0.7811544,0.00265787,0.001701475,0.001559837,0.04371941],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1101631,"threshold_uncertainty_score":0.3685323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712867652506044,"score_gpt":0.3170525963626932,"score_spread":0.2899239198376327,"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."}}