{"id":"W2051904214","doi":"10.1139/l04-070","title":"Modélisation des erreurs pour le système de prévision PRÉVIS","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generalized Pareto distribution; Mathematics; Pareto principle; Statistics; Lomax distribution; Goodness of fit; Extreme value theory; Econometrics","routes":{"ca_aff":false,"ca_fund":false,"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":[0.005340097,0.001233656,0.001579478,0.001154134,0.001068824,0.002855706,0.00214707,0.002785494,0.003457307],"category_scores_gemma":[0.01329271,0.0009720279,0.001651132,0.0008118574,0.00172776,0.002605452,0.001269719,0.003131546,0.0005351989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005190486,"about_ca_system_score_gemma":0.003592522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07051419,"about_ca_topic_score_gemma":0.02428184,"domain_scores_codex":[0.9987098,0.0004444158,0.00006423823,0.0003048544,0.0002867302,0.0001899754],"domain_scores_gemma":[0.9928886,0.005490776,0.0005998412,0.0001548171,0.0007179864,0.0001479614],"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":[0.00002152142,0.000008919193,0.0008826764,0.00001114273,0.00001174904,0.00001966577,0.00004709715,0.9905813,0.0000870574,0.006466029,0.00008154377,0.001781335],"study_design_scores_gemma":[0.000005374151,0.0000094711,0.0001363123,0.0000037125,0.000003588888,0.000009356012,0.000008441013,0.9970177,0.00007386945,0.002578549,0.000147425,0.000006194677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1976236,0.0007887989,0.7922569,0.001202384,0.00008438429,0.0001269194,0.000762286,0.0006900029,0.006464752],"genre_scores_gemma":[0.9436712,0.0003886617,0.04591134,0.0001062403,0.0000528102,0.0003263785,0.0004883763,0.00009611479,0.008958776],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07051419,"threshold_uncertainty_score":0.1402075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008570600224757842,"score_gpt":0.1817358546873727,"score_spread":0.1731652544626149,"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."}}