{"id":"W4306411848","doi":"10.1002/cjs.11731","title":"A high‐dimensional inverse norm sign test for two‐sample location problems","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Sign test; Mathematics; Nonparametric statistics; Inverse; Norm (philosophy); Sign (mathematics); Inverse problem; Sample (material); Applied mathematics; Statistics; Mathematical analysis; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02135407,0.0008369727,0.001654658,0.002342297,0.0007063403,0.0016865,0.002489998,0.002215795,0.003579912],"category_scores_gemma":[0.1137039,0.0004162036,0.001267214,0.0018961,0.004800358,0.003834612,0.003546247,0.002713999,0.0004697763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006941407,"about_ca_system_score_gemma":0.001689176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006523864,"about_ca_topic_score_gemma":0.0004755211,"domain_scores_codex":[0.9848128,0.01057083,0.0005107287,0.001577572,0.002197951,0.0003301194],"domain_scores_gemma":[0.8920907,0.0900441,0.005433382,0.0056821,0.005515422,0.001234308],"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":[0.001302294,0.0004523556,0.05200894,0.0008007477,0.0008863888,0.001239908,0.0004768823,0.224415,0.01195377,0.3545016,0.004552316,0.3474097],"study_design_scores_gemma":[0.0001956866,0.0007036845,0.00961726,0.00008521101,0.0001012401,0.0006913107,0.0002021916,0.823626,0.00450252,0.1577277,0.002426919,0.0001202527],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05028985,0.0001963583,0.9468811,0.0003938835,0.00006046696,0.00008960879,0.00008119534,0.0001607973,0.001846815],"genre_scores_gemma":[0.7501501,0.0001901843,0.2464918,0.0003901689,0.0001926887,0.0004696927,0.000404366,0.00008930095,0.001621624],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02135407,"threshold_uncertainty_score":0.1129324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09307077869196205,"score_gpt":0.311252530826645,"score_spread":0.2181817521346829,"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."}}