{"id":"W2046382281","doi":"10.1002/cjs.11180","title":"Multivariate one‐sided tests for nonlinear mixed‐effects models","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Multivariate statistics; Multivariate analysis; Wald test; Contingency table; Multivariate analysis of variance; Statistics; Econometrics; Likelihood-ratio test; Statistical hypothesis testing; Score test; Test (biology); Multivariate normal distribution; Computer science; Mathematics; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.06323653,0.001932778,0.003562401,0.004359492,0.001187944,0.003016205,0.004273918,0.002531777,0.01586039],"category_scores_gemma":[0.2930747,0.000707033,0.003337813,0.005166986,0.005963358,0.004798791,0.003126258,0.004752335,0.001202072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162697,"about_ca_system_score_gemma":0.003433072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001866188,"about_ca_topic_score_gemma":0.001419199,"domain_scores_codex":[0.9079986,0.07719236,0.002435717,0.005837329,0.005644869,0.0008910074],"domain_scores_gemma":[0.5091672,0.4639801,0.01106147,0.0106389,0.003848908,0.001303534],"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":[0.001947244,0.0005150706,0.04012399,0.002479,0.004458046,0.001821846,0.001006264,0.09836546,0.002523706,0.4860865,0.01024286,0.35043],"study_design_scores_gemma":[0.0004152503,0.001180967,0.009855965,0.0003334538,0.0004777979,0.0007015563,0.0003366355,0.4094131,0.00214627,0.5690295,0.005941666,0.0001679868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02021782,0.001006209,0.9746982,0.0008792291,0.0001838435,0.0002980344,0.000617832,0.0004728552,0.001626009],"genre_scores_gemma":[0.4776014,0.0007402591,0.5164701,0.0004252021,0.0005207201,0.001653712,0.0008415614,0.000192726,0.001554245],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06323653,"threshold_uncertainty_score":0.3344308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09191539880402065,"score_gpt":0.3434078272932042,"score_spread":0.2514924284891836,"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."}}