{"id":"W2794801160","doi":"10.1016/j.jspi.2018.03.006","title":"Bayesian optimality for Beran’s class of tests of uniformity around the circle","year":2018,"lang":"en","type":"article","venue":"Journal of Statistical Planning and Inference","topic":"Mathematical Approximation and Integration","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; University of the Fraser Valley","funders":"","keywords":"Mathematics; Parametric statistics; Class (philosophy); Bayesian probability; Applied mathematics; Statistics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008631457,0.00007267238,0.0002843855,0.00003832482,0.00006429738,0.00002323043,0.0001093242,0.00004875824,0.0000520028],"category_scores_gemma":[0.004037829,0.00004449905,0.00004094765,0.00006265304,0.0002836297,0.0001146462,0.00001742877,0.0001338949,4.982339e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001133341,"about_ca_system_score_gemma":0.00005658252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006182377,"about_ca_topic_score_gemma":0.000003545351,"domain_scores_codex":[0.9989292,0.00004931059,0.0006449109,0.0000632691,0.0002153045,0.00009798828],"domain_scores_gemma":[0.9962383,0.002602475,0.0004952721,0.0000995958,0.0005033604,0.00006098929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000155495,0.0001796404,0.001892254,0.0005105765,0.00004724148,9.182393e-7,0.001481411,0.000006377578,0.0004768041,0.9886947,0.001482713,0.005071841],"study_design_scores_gemma":[0.0004247671,0.0008424651,0.01198706,0.0003587429,0.00006589052,0.00002276421,0.0005732327,0.04129725,0.001686269,0.9425308,0.0001340099,0.00007671889],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.166886,0.00001242173,0.8311143,0.0001889679,0.00003778891,0.0001021601,0.00004377648,0.000003491453,0.001611072],"genre_scores_gemma":[0.8451714,0.000002935027,0.1547221,0.00002968321,0.00004859495,0.000001552475,0.000001540232,0.00000376613,0.00001844986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6782854,"threshold_uncertainty_score":0.483395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07430940475135492,"score_gpt":0.3846556819783183,"score_spread":0.3103462772269634,"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."}}