{"id":"W4232801234","doi":"10.1139/cjce-28-2-291","title":"Développement de modèles de queues et d'invariance d'échelle pour l'estimation régionale des débits d'étiage","year":2001,"lang":"fr","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Quantile; Scale (ratio); Series (stratigraphy); Moment (physics); Statistics; Applied mathematics; Geology; Geography; Physics; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.006872729,0.001557363,0.002268323,0.001451946,0.0007788345,0.002324443,0.002941022,0.002372493,0.002901967],"category_scores_gemma":[0.01783809,0.00117408,0.002699357,0.001216625,0.002094587,0.002380563,0.002373893,0.004139012,0.0007969941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003551146,"about_ca_system_score_gemma":0.003322461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05740182,"about_ca_topic_score_gemma":0.0251828,"domain_scores_codex":[0.9983134,0.000756119,0.000078955,0.0003309462,0.000301182,0.0002193902],"domain_scores_gemma":[0.9884525,0.009239368,0.0006165059,0.0003690227,0.001032792,0.0002897531],"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":[0.00004112103,0.00003246043,0.0008854509,0.0000376419,0.00006076715,0.00005116897,0.00009742602,0.9233979,0.0004779068,0.06593134,0.0003859854,0.008600798],"study_design_scores_gemma":[0.000005355764,0.000005823637,0.0000689642,0.00000339612,0.000004270199,0.000002872199,0.000003929636,0.9947662,0.00004989525,0.004786003,0.0002978082,0.000005462887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007444344,0.0003708645,0.9906434,0.00024157,0.00005095107,0.0000338304,0.0001043543,0.0001611341,0.0009494928],"genre_scores_gemma":[0.4549015,0.002054994,0.5253854,0.0003624754,0.0003958552,0.001014863,0.0008426343,0.0004624963,0.01457964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05740182,"threshold_uncertainty_score":0.1141354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445640496571496,"score_gpt":0.2197923101622896,"score_spread":0.2053359051965747,"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."}}