{"id":"W4399171742","doi":"10.5539/ijsp.v13n2p69","title":"Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 13, No. 2","year":2024,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","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":[0.05912775,0.003662562,0.01040065,0.01295245,0.005002006,0.01194052,0.006087635,0.01838984,0.0931521],"category_scores_gemma":[0.5353253,0.00205166,0.006367461,0.005744339,0.004075563,0.0073747,0.004350105,0.01419899,0.06551869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005214255,"about_ca_system_score_gemma":0.01131157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003494764,"about_ca_topic_score_gemma":0.00519718,"domain_scores_codex":[0.9223212,0.01505304,0.0158519,0.005421337,0.03893143,0.002421127],"domain_scores_gemma":[0.1319398,0.03874792,0.01112092,0.006686167,0.8026862,0.008819103],"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":[0.00003576135,0.000004320065,0.00007207193,0.0003758407,0.00001230881,0.00005378904,0.00002979032,0.00001102018,0.00003641284,0.0001089715,0.996255,0.003004652],"study_design_scores_gemma":[0.0003753509,0.00007649104,0.0015302,0.004586311,0.0001717327,0.001512456,0.0004337291,0.0007094172,0.0004361919,0.002969406,0.9869495,0.0002492634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001187413,0.002521201,0.001676243,0.1188617,0.8730337,0.0005337393,0.0007232072,0.0005732815,0.001958265],"genre_scores_gemma":[0.004221817,0.005839778,0.004288021,0.1570958,0.7779361,0.003305726,0.001632274,0.001811094,0.04386939],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.0931521,"threshold_uncertainty_score":0.3127012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05861863883922563,"score_gpt":0.395362256178233,"score_spread":0.3367436173390073,"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."}}