{"id":"W2576532738","doi":"10.1515/udt-2016-0005","title":"On Strong Normality","year":2016,"lang":"en","type":"article","venue":"Uniform distribution theory","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Normality; Mathematics; Statistics","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":[0.0007942866,0.00009762662,0.00009679761,0.00002219856,0.0001142184,0.00004191038,0.0004322031,0.00004116976,0.0001045929],"category_scores_gemma":[0.0002269227,0.00005604556,0.00006374545,0.0001739245,0.00007057044,0.0003108046,0.0001109533,0.00006957926,0.0002176902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009384572,"about_ca_system_score_gemma":0.00002445023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002312354,"about_ca_topic_score_gemma":1.363309e-7,"domain_scores_codex":[0.9990344,0.0001595316,0.0001479962,0.0002231556,0.0001800411,0.0002548592],"domain_scores_gemma":[0.9990009,0.0003653986,0.00006102412,0.0004162464,0.00004970921,0.0001067249],"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":[0.00000778747,0.00002534257,0.0000217519,9.145421e-7,0.00000299788,0.000001471651,0.000005482301,0.000001041606,0.00009711622,0.7115097,0.0001416837,0.2881847],"study_design_scores_gemma":[0.0003772873,0.0001476474,0.00251411,0.00002424043,0.000002920785,0.000005094809,0.00001057863,0.000840015,0.008687787,0.9732952,0.01391372,0.0001814654],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002718525,0.000009568271,0.9912307,0.000790009,0.0002633431,0.00005864966,0.00007793932,0.0001482795,0.004702952],"genre_scores_gemma":[0.9813212,0.000006546751,0.01759987,0.0002635386,0.0000722137,0.000008558423,0.00001399199,0.000004902027,0.0007091454],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9786027,"threshold_uncertainty_score":0.279804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255483511614403,"score_gpt":0.2621572351587885,"score_spread":0.2496024000426444,"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."}}