{"id":"W4392101232","doi":"10.51387/24-nejsds60","title":"Nonparametric E-tests of Symmetry","year":2024,"lang":"en","type":"article","venue":"The New England Journal of Statistics in Data Science","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nonparametric statistics; Symmetry (geometry); Statistical physics; Mathematics; Computer science; Physics; Econometrics; Geometry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06405109,0.001144529,0.002479255,0.003375871,0.0009293593,0.003856721,0.002985534,0.002623368,0.006267045],"category_scores_gemma":[0.3189662,0.0004496848,0.001752192,0.00314422,0.01223905,0.008838153,0.005103684,0.005211674,0.0009815141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010317,"about_ca_system_score_gemma":0.002026577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002812331,"about_ca_topic_score_gemma":0.0001203874,"domain_scores_codex":[0.9302506,0.05415446,0.003124692,0.004523555,0.006738439,0.001208264],"domain_scores_gemma":[0.6209229,0.3297705,0.01501978,0.02358008,0.008830291,0.001876451],"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":[0.0006269207,0.0001220951,0.01058623,0.0005694726,0.0004888888,0.000387229,0.0005927646,0.01633036,0.001499316,0.8592465,0.002276224,0.1072741],"study_design_scores_gemma":[0.0001546732,0.0006564169,0.005631961,0.0002182135,0.00008028047,0.0006127894,0.0003733282,0.03345803,0.001907876,0.9511412,0.005687171,0.00007801774],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0386706,0.001375431,0.9451764,0.001829237,0.0002960835,0.0002347688,0.0005108037,0.0002726728,0.01163402],"genre_scores_gemma":[0.7983986,0.0007177094,0.1954388,0.001208574,0.0005406798,0.00117422,0.0005548946,0.0001939452,0.001772529],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06405109,"threshold_uncertainty_score":0.3387386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.449767996736839,"score_gpt":0.56192055813586,"score_spread":0.112152561399021,"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."}}