{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000842915,0.0001242741,0.0002670961,0.0001813153,0.0003524755,0.00004307662,0.0002062251,0.00002904611,0.001057725],"category_scores_gemma":[0.01069738,0.0001219746,0.00004245886,0.0002101413,0.00009391238,0.00005199583,0.0000198097,0.0002730457,0.000003958354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003222117,"about_ca_system_score_gemma":0.001879874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003308377,"about_ca_topic_score_gemma":0.009690506,"domain_scores_codex":[0.9986356,0.00009696383,0.0005528115,0.0001217321,0.0002894744,0.0003034285],"domain_scores_gemma":[0.993386,0.004891654,0.0003900093,0.0001336302,0.0007232109,0.0004755085],"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":[0.00003084588,0.00009073928,0.0007289645,0.0001500131,0.00005364062,0.0000890213,0.0005860463,0.003112511,0.0001269315,0.8524449,0.1260475,0.01653893],"study_design_scores_gemma":[0.000935964,0.0008880598,0.0004593433,0.00004753429,0.00009995599,0.0001046571,0.0001954581,0.01736463,0.00004757979,0.9710842,0.008570338,0.0002022206],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002769461,0.00003637389,0.9899558,0.0003485866,0.0005834211,0.0002725718,0.005951115,0.000005712947,0.00007692144],"genre_scores_gemma":[0.1515307,0.000001301056,0.8477649,0.0003332896,0.000134154,0.00002561512,0.00004734573,0.00002662374,0.0001360547],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1487612,"threshold_uncertainty_score":0.9998555,"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."}}