{"id":"W2069593790","doi":"10.1002/cjs.5550360113","title":"Nonparametric tests of hypotheses for umbrella alternatives","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Nonparametric statistics; Null hypothesis; Statistic; Statistical hypothesis testing; Alternative hypothesis; Null (SQL); Test statistic; Class (philosophy); Econometrics; Mathematics; Statistics; Computer science; Data mining; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001442636,0.0001573093,0.0007609572,0.0003968944,0.00009993346,0.00001793761,0.0003777641,0.00009984988,0.0001994998],"category_scores_gemma":[0.2181975,0.0001376145,0.0001482106,0.0002965853,0.0005051552,0.00005086998,0.00001142764,0.0002332451,0.000004477904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009497091,"about_ca_system_score_gemma":0.00124598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002914484,"about_ca_topic_score_gemma":0.0005534934,"domain_scores_codex":[0.9976587,0.0002233675,0.00133161,0.0001349402,0.0003254985,0.000325927],"domain_scores_gemma":[0.9344817,0.06273471,0.001002877,0.0002068479,0.0009815966,0.0005922877],"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":[0.00031579,0.0003636434,0.01636468,0.0009332673,0.0007800364,0.001212662,0.001468491,0.0000790107,0.000415799,0.7624368,0.1215917,0.09403818],"study_design_scores_gemma":[0.001065685,0.0007187076,0.005874745,0.0001499459,0.0001491509,0.0001715875,0.00006737625,0.0001854711,0.0008635723,0.9886339,0.001941997,0.0001778493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0324863,0.0002672884,0.962249,0.000110521,0.001004538,0.0003188267,0.002688916,0.000005740855,0.0008689211],"genre_scores_gemma":[0.208557,0.00008566964,0.7908618,0.00006226265,0.0002053959,0.000002803818,8.281484e-7,0.00003073831,0.0001934828],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2261971,"threshold_uncertainty_score":0.788388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6372626154125042,"score_gpt":0.518261751457429,"score_spread":0.1190008639550751,"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."}}