{"id":"W1561475154","doi":"10.1029/2007wr006499","title":"River stream flows in the northern Québec Labrador region: A multivariate change point analysis via maximum likelihood","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multivariate statistics; Multivariate normal distribution; Statistics; Mathematics; Univariate; Asymptotic distribution; Gaussian; Point estimation; Estimator; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001139503,0.0002583074,0.0003163211,0.0009922883,0.0004336431,0.0008113392,0.0007340914,0.0002696526,0.0006163013],"category_scores_gemma":[0.004431156,0.0001782654,0.0003322512,0.001440022,0.0005458505,0.0004388338,0.0003690615,0.0005078575,0.00005115193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004685428,"about_ca_system_score_gemma":0.002652342,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8048637,"about_ca_topic_score_gemma":0.739736,"domain_scores_codex":[0.9996439,0.0001650822,0.000009150795,0.00006913983,0.00007090205,0.00004176552],"domain_scores_gemma":[0.9987885,0.0006987627,0.0001824961,0.00006907712,0.0002039225,0.00005712555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003051296,0.0001069868,0.2516285,0.00004871255,0.0002199314,0.0002912647,0.0004878237,0.6551443,0.002386916,0.007309833,0.001790382,0.08028028],"study_design_scores_gemma":[0.00001171053,0.00001498235,0.1328563,0.000005407211,0.00001948785,0.00002049134,0.0001053539,0.8651235,0.0002322935,0.001062874,0.0005232442,0.00002442353],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9412248,0.0001470755,0.05653491,0.0003061544,0.000003717404,0.00004548388,0.0007155425,0.0001150493,0.0009072752],"genre_scores_gemma":[0.987998,0.00004723867,0.01112101,0.000009691317,0.000004835809,0.00001845938,0.0003691333,0.00001459505,0.0004170359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1951363,"threshold_uncertainty_score":0.392571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303421357052196,"score_gpt":0.2817669581015828,"score_spread":0.2514248223963632,"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."}}