{"id":"W2004252633","doi":"10.1007/s00477-004-0176-6","title":"Scaling of Canadian low flows","year":2004,"lang":"en","type":"article","venue":"Stochastic Environmental Research and Risk Assessment","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Alberta","keywords":"Scaling; Mathematics; Drainage; Flood myth; Scaling law; Statistics; Moment (physics); Flow (mathematics); Hydrology (agriculture); Physics; Geometry; Geology; Geography","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0008229194,0.0002515607,0.0003479813,0.002256736,0.002366596,0.002876717,0.0006833571,0.0005099153,0.0063533],"category_scores_gemma":[0.008570311,0.000248451,0.0003988376,0.002108612,0.00156092,0.0008998013,0.0007715339,0.0007430536,0.000304905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03386977,"about_ca_system_score_gemma":0.0102768,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9537417,"about_ca_topic_score_gemma":0.9558151,"domain_scores_codex":[0.9995086,0.00004306719,0.00001131242,0.0001414699,0.0001159205,0.0001795432],"domain_scores_gemma":[0.9968017,0.0004120877,0.0002712584,0.0002722222,0.001776165,0.0004665877],"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":[0.0003920065,0.0000818242,0.1847799,0.0001102392,0.0001639626,0.0003098998,0.003093772,0.3569103,0.00921438,0.3171003,0.04763974,0.08020352],"study_design_scores_gemma":[0.00002749931,0.00003028685,0.6217436,0.00008661475,0.00007730538,0.0001047129,0.002668555,0.2683392,0.001242735,0.0703333,0.03516207,0.0001841896],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283946,0.0006418776,0.006185331,0.002658178,0.00006175305,0.00002847132,0.002228502,0.0002665955,0.05953468],"genre_scores_gemma":[0.9956242,0.0001792128,0.0006919056,0.00006506134,0.00001288071,0.000007643064,0.0004000711,0.00004252629,0.002976437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04625833,"threshold_uncertainty_score":0.2457436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472806290695524,"score_gpt":0.2946322744812738,"score_spread":0.2799042115743186,"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."}}