{"id":"W2484396295","doi":"10.1090/fim/027/11","title":"An application to discrepancy theory","year":2010,"lang":"en","type":"book-chapter","venue":"American Mathematical Society eBooks","topic":"Mathematical Approximation and Integration","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Psychology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001120778,0.0008039867,0.001262867,0.00009251481,0.0002186043,0.0001556619,0.0007387007,0.0005626046,0.002062448],"category_scores_gemma":[0.0004159955,0.0006511246,0.0007699013,0.00006551269,0.0008232248,0.00009869359,0.0001539839,0.001123354,0.002102047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001395288,"about_ca_system_score_gemma":0.00008196042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005412283,"about_ca_topic_score_gemma":0.00001206957,"domain_scores_codex":[0.996358,0.00007306052,0.001199766,0.0009218642,0.0009169484,0.0005303208],"domain_scores_gemma":[0.9957441,0.0007752482,0.0007803248,0.001799291,0.0002717665,0.0006292344],"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":[0.00001723659,0.0001478203,1.390348e-7,0.000305738,0.0001093623,9.498498e-7,0.002269718,4.503528e-8,0.0007855065,0.9769194,0.001705908,0.0177382],"study_design_scores_gemma":[0.0001384725,0.0002261167,6.460081e-7,0.0002011302,0.0002103163,0.00001299391,0.0004454964,0.00068506,0.0006005761,0.9642591,0.03246327,0.0007567942],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0001956291,0.000003877309,0.4211258,0.0002744735,0.00004053298,0.001259025,0.00003583199,0.0004354196,0.5766294],"genre_scores_gemma":[0.001831787,0.000004047349,0.5762866,0.001670765,0.0004163552,0.0004820732,0.0000545069,0.0003687341,0.4188852],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1577442,"threshold_uncertainty_score":0.999594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994809400239329,"score_gpt":0.3045819242847804,"score_spread":0.2846338302823871,"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."}}