{"id":"W2005297640","doi":"10.2307/3315851","title":"Nonparametric weighted symmetry tests","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nonparametric statistics; Mathematics; Symmetry (geometry); Asymptotic distribution; Estimator; Generalization; Wilcoxon signed-rank test; Scaling; Statistical hypothesis testing; Rank (graph theory); Parametric statistics; Statistics; Statistical physics; Applied mathematics; Mathematical analysis; Combinatorics; Physics; Mann–Whitney U test; Geometry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0006093779,0.0001094762,0.0003342795,0.0007335763,0.0001235942,0.00007127126,0.0001697351,0.00008817023,0.0004045802],"category_scores_gemma":[0.001765499,0.0001281553,0.00006874956,0.0005209445,0.00005784426,0.0001277593,0.000003450301,0.0002634703,0.0001259736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002053358,"about_ca_system_score_gemma":0.0005442307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002575162,"about_ca_topic_score_gemma":0.0035375,"domain_scores_codex":[0.9987425,0.00001725518,0.0007442566,0.0001317989,0.00004269906,0.0003215151],"domain_scores_gemma":[0.9986784,0.0001268953,0.000421931,0.0001525395,0.0001567389,0.0004634209],"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":[0.000003161983,0.00001799861,0.1560656,0.00001585286,0.00002678485,0.00009367563,0.0001792077,0.00006138775,0.000001215877,0.8335638,0.006840398,0.003130902],"study_design_scores_gemma":[0.0008517844,0.0002464836,0.07348826,0.00004796333,0.00002648071,0.0001211363,0.00009646934,0.005594179,0.00004082804,0.6728078,0.2462185,0.0004600822],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3379265,0.01140876,0.6170865,0.0002043362,0.002797262,0.0001617476,0.001598794,0.000009441107,0.02880661],"genre_scores_gemma":[0.9464526,0.000121187,0.05293898,0.0001335424,0.00007749043,5.353744e-7,0.000004244631,0.00001815616,0.0002533146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6085261,"threshold_uncertainty_score":0.5226021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03102010633405027,"score_gpt":0.2135589643557155,"score_spread":0.1825388580216652,"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."}}