{"id":"W4385859609","doi":"10.1007/978-3-031-34593-7_68","title":"On Developing Extreme Rainfall Intensity–Duration–Frequency Relations for Canada: A Comparative Study of Different Estimation Methods","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Gumbel distribution; Generalized extreme value distribution; Extreme value theory; Estimation; Duration (music); Scale (ratio); Return period; Moment (physics); Storm; Statistics; Computer science; Environmental science; Geography; Mathematics; Meteorology; Cartography; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008750181,0.0008180334,0.000766204,0.003065366,0.001214223,0.002426432,0.002470082,0.0008033545,0.005414573],"category_scores_gemma":[0.02352586,0.0004897547,0.001388148,0.006935379,0.0008039905,0.001674527,0.001064301,0.001010161,0.0005412421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01100865,"about_ca_system_score_gemma":0.02031145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9466586,"about_ca_topic_score_gemma":0.941992,"domain_scores_codex":[0.997636,0.0009392889,0.0001393504,0.0002224177,0.0008114102,0.0002515201],"domain_scores_gemma":[0.9857206,0.01136129,0.0003401747,0.0002765555,0.002190128,0.0001112197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001860741,0.00009986614,0.102258,0.0008235266,0.0003428961,0.000233505,0.002454892,0.2504696,0.002416617,0.07537587,0.01105868,0.5542805],"study_design_scores_gemma":[0.00004877577,0.0002041031,0.2429857,0.0006794408,0.0004303324,0.0002518912,0.004071099,0.6882602,0.005443289,0.02603458,0.0313833,0.0002073515],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.272916,0.01255426,0.6540553,0.00179735,0.0001018413,0.0005479701,0.0080794,0.001798444,0.04814934],"genre_scores_gemma":[0.4880522,0.00844783,0.4818369,0.0002863309,0.00005245591,0.0002763767,0.006956995,0.0007606484,0.01333009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05334139,"threshold_uncertainty_score":0.107311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03975024810112622,"score_gpt":0.2771294652680868,"score_spread":0.2373792171669606,"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."}}