{"id":"W4398226451","doi":"10.2139/ssrn.4838410","title":"Statistical Testing of Scaling Models for Precipitation Intensity-Duration-Frequency Curves","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Duration (music); Scaling; Intensity (physics); Precipitation; Statistics; Mathematics; Statistical hypothesis testing; Statistical physics; Statistical analysis; Econometrics; Physics; Meteorology; Optics; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.06797009,0.001406473,0.001686756,0.001786841,0.001067601,0.002957137,0.003409605,0.00227497,0.007054213],"category_scores_gemma":[0.2326559,0.0007442588,0.003620779,0.00157794,0.005086683,0.003723091,0.00246579,0.002107169,0.0005690538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214426,"about_ca_system_score_gemma":0.002099091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001866626,"about_ca_topic_score_gemma":0.0007492312,"domain_scores_codex":[0.9544666,0.03333773,0.001515971,0.006300254,0.003206059,0.001173459],"domain_scores_gemma":[0.4238219,0.5391487,0.01063987,0.02018417,0.003638874,0.002566519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006351702,0.001442613,0.3552295,0.0009155199,0.006164126,0.00132661,0.004140138,0.3470339,0.009659264,0.1310522,0.006375142,0.1303094],"study_design_scores_gemma":[0.0003516134,0.001377191,0.06393901,0.00007335437,0.0003283182,0.0003403425,0.0007866748,0.8521001,0.00222487,0.07742085,0.000973169,0.00008457801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7624969,0.0002308858,0.2324499,0.0004426158,0.0001517806,0.0002592391,0.0008906902,0.000677435,0.002400526],"genre_scores_gemma":[0.9855732,0.00006569685,0.01218596,0.00007915662,0.0000847821,0.0002630642,0.001136256,0.0001702945,0.0004414838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06797009,"threshold_uncertainty_score":0.3594645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047710120599883,"score_gpt":0.273704545928226,"score_spread":0.2532274447222271,"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."}}