{"id":"W2049867669","doi":"10.4296/cwrj3302195","title":"Statistical Models and the Estimation of Low Flows","year":2008,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geography; Estimation; Geology; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.00518709,0.0007725923,0.001043962,0.002468373,0.0004232056,0.003272721,0.001451525,0.001020425,0.002861855],"category_scores_gemma":[0.02603291,0.0006814168,0.001018924,0.002356433,0.002005919,0.002878481,0.001413604,0.001478417,0.0005977807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142882,"about_ca_system_score_gemma":0.001969748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01207676,"about_ca_topic_score_gemma":0.007686586,"domain_scores_codex":[0.9977932,0.001360135,0.00008041559,0.0002986261,0.0003352539,0.0001322857],"domain_scores_gemma":[0.9829196,0.01387824,0.001385233,0.0008082403,0.0008281255,0.000180609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000071655,0.00002556293,0.00876474,0.0001163286,0.0001483532,0.0000486981,0.0001249822,0.8649231,0.0003772158,0.08036426,0.0009729345,0.04406215],"study_design_scores_gemma":[0.000007340648,0.00001673809,0.001719841,0.00002383974,0.00001288805,0.0000205015,0.00003618587,0.9089825,0.0001746252,0.08758512,0.001400499,0.00001990476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04733758,0.001519125,0.9455958,0.001204216,0.00009834252,0.00002173097,0.0003735378,0.0007291046,0.003120601],"genre_scores_gemma":[0.8723978,0.002973404,0.1143886,0.0002327521,0.000414528,0.0001607332,0.001398357,0.0002621613,0.007771618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01207676,"threshold_uncertainty_score":0.02743232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212491092000769,"score_gpt":0.1886505244127913,"score_spread":0.1765256134927836,"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."}}