{"id":"W4250997947","doi":"10.5539/ijsp.v9n1p87","title":"Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 9, No. 1","year":2020,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Library science; Beijing; Editorial board; Political science; Sociology; Law; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.002527535,0.0002046309,0.0005372305,0.0001187464,0.00005569056,0.0001565613,0.0005190288,0.00007663175,0.0004138271],"category_scores_gemma":[0.2767168,0.0001682783,0.00009787797,0.00006323452,0.0002518318,0.000187086,0.0001705772,0.0002886438,0.000005401883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000126544,"about_ca_system_score_gemma":0.0003624035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002478661,"about_ca_topic_score_gemma":0.000007836293,"domain_scores_codex":[0.9970757,0.0002425322,0.001543136,0.0002188526,0.0007517704,0.0001679563],"domain_scores_gemma":[0.9297972,0.002955999,0.001494482,0.0001181198,0.06540643,0.0002277454],"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":[0.0009249289,0.0005996852,0.009011135,0.001027539,0.0008418713,0.00002018682,0.001768392,0.00001240893,0.00007081087,0.05669211,0.8453442,0.08368666],"study_design_scores_gemma":[0.00195314,0.0007187905,0.003665014,0.0002087224,0.0002144431,0.00002913108,0.0001476759,0.0008601667,0.0001292773,0.859091,0.1327712,0.0002114485],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008163048,0.0004664936,0.9588492,0.001364073,0.027354,0.0005287119,0.003181043,0.00001014701,0.00008327644],"genre_scores_gemma":[0.003855325,0.001243293,0.990576,0.0004270344,0.003657514,0.000009991434,0.00003846594,0.00002334288,0.00016909],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8023989,"threshold_uncertainty_score":0.7293757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1641541640834658,"score_gpt":0.426129550731462,"score_spread":0.2619753866479962,"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."}}