{"id":"W4250610691","doi":"10.5539/ijsp.v6n3p213","title":"Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 6, No. 3","year":2017,"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":"Library science; China; Editorial board; Sociology; Political science; Law; 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":[0.003941624,0.0002063819,0.0005328849,0.0001460327,0.0001570035,0.0003706935,0.0008391329,0.00008549243,0.0003042319],"category_scores_gemma":[0.3385267,0.0001674074,0.0001003179,0.00002311964,0.0004369109,0.0002906548,0.0002470977,0.0002728514,0.000004274933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000154327,"about_ca_system_score_gemma":0.0003633527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006886411,"about_ca_topic_score_gemma":0.00002868529,"domain_scores_codex":[0.9972284,0.0001960273,0.001438175,0.0002119005,0.0007448855,0.0001805389],"domain_scores_gemma":[0.9207522,0.00256207,0.00244372,0.0002592741,0.07382036,0.0001623836],"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":[0.0008357948,0.0008959498,0.02664283,0.0009082179,0.001044348,0.00002577967,0.0009587427,0.000004999654,0.00005066477,0.09776332,0.7064924,0.1643769],"study_design_scores_gemma":[0.001692948,0.0003727504,0.01675309,0.0002677901,0.0001725823,0.00003328656,0.00006539421,0.0002916985,0.00009136034,0.9013178,0.07876734,0.0001739282],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01802853,0.0004492837,0.9092631,0.0008336477,0.06666186,0.0006682343,0.003843956,0.000009022907,0.0002424089],"genre_scores_gemma":[0.006357057,0.001544024,0.9878348,0.0001102682,0.003478313,0.0000119465,0.00002719122,0.00002299825,0.000613402],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8035545,"threshold_uncertainty_score":0.6826677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1641198221637581,"score_gpt":0.4497224692606562,"score_spread":0.2856026470968981,"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."}}