{"id":"W2243480686","doi":"","title":"Trend Characterisation of Rainfall Intensities in Ontario for Short Duration Storms","year":2008,"lang":"en","type":"article","venue":"Proceedings of Water Down Under 2008","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Storm; Stormwater; Stormwater management; Sanitary sewer; Duration (music); Precipitation; Culvert; Environmental science; Hydrology (agriculture); Drainage; Meteorology; Green infrastructure; Surface runoff; Water resource management; Geography; Environmental planning; Engineering; Environmental engineering; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0002194588,0.0001425957,0.0001552277,0.001505649,0.0006563988,0.0005172014,0.0003645786,0.0001281381,0.00218181],"category_scores_gemma":[0.001615797,0.0001217378,0.000174867,0.002934724,0.0003235068,0.0002478855,0.0003311545,0.0001700617,0.0003074721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007734071,"about_ca_system_score_gemma":0.00652546,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9692544,"about_ca_topic_score_gemma":0.9889057,"domain_scores_codex":[0.9997317,0.00001086469,0.00001818113,0.00005160567,0.0001309787,0.00005664186],"domain_scores_gemma":[0.9983214,0.0001332542,0.0003291522,0.00006838177,0.001023208,0.0001245154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000137585,0.00001545543,0.9704515,0.00005080049,0.00004717457,0.00007990292,0.002104667,0.001461156,0.003424,0.0004618691,0.002868189,0.01889761],"study_design_scores_gemma":[0.000001853602,0.000007061728,0.9966449,0.000003795794,0.000005493452,0.00001160211,0.000416665,0.0005266788,0.0001950483,0.00002011904,0.002161682,0.00000491424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728448,0.0001443423,0.0006829458,0.0001472361,0.000006739491,0.00003186203,0.01499054,0.00006108866,0.01109039],"genre_scores_gemma":[0.9890642,0.0001640507,0.0004591167,0.000014492,0.000004248861,0.00002121608,0.005564435,0.00001308228,0.004695221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03074563,"threshold_uncertainty_score":0.06185335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202155700659648,"score_gpt":0.2131642769876112,"score_spread":0.1911427199810147,"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."}}