{"id":"W1658614109","doi":"10.1029/2006wr005639","title":"Multivariate<i>L</i>‐moment homogeneity test","year":2007,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Multivariate statistics; Gumbel distribution; Homogeneity (statistics); Copula (linguistics); Bivariate analysis; Statistics; Mathematics; Econometrics; Multivariate analysis; Flood myth; Logistic regression; Marginal distribution; Statistical hypothesis testing; Univariate; Random variable; Extreme value theory; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.009929736,0.0005982561,0.001279197,0.002014557,0.0009097149,0.001349533,0.001995537,0.001013666,0.01035127],"category_scores_gemma":[0.05540713,0.0002626329,0.001563448,0.001706869,0.002234086,0.002390468,0.001667187,0.001271965,0.0007684149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008218869,"about_ca_system_score_gemma":0.00132794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001354767,"about_ca_topic_score_gemma":0.0006555685,"domain_scores_codex":[0.9907313,0.004608613,0.0005001624,0.001469333,0.001852501,0.0008381274],"domain_scores_gemma":[0.9344885,0.05307559,0.003543591,0.005280322,0.002500051,0.001111869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.006233297,0.001089593,0.3347772,0.000740098,0.002844062,0.003323613,0.001564854,0.1332963,0.02086378,0.1304096,0.01403764,0.35082],"study_design_scores_gemma":[0.0003689762,0.002990881,0.2502183,0.0001202519,0.0005769791,0.002371806,0.001345943,0.6250678,0.01673202,0.09174247,0.008070022,0.0003946381],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3658808,0.0002852461,0.6169164,0.0005423657,0.0001092079,0.0005232189,0.001481855,0.0008450391,0.01341601],"genre_scores_gemma":[0.9648321,0.00005961108,0.03321403,0.00007217765,0.00009236426,0.0002275952,0.0006138851,0.00006497422,0.0008232478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01035127,"threshold_uncertainty_score":0.05251408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0335918129504526,"score_gpt":0.3236343704205626,"score_spread":0.29004255747011,"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."}}