{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001634866,0.0001003466,0.0001592033,0.00008731747,0.000044234,0.000009345048,0.00009355235,0.00004221856,0.0001785883],"category_scores_gemma":[0.000003147351,0.00007464497,0.00004428962,0.00005923274,0.000095572,0.0004754738,0.00006628131,0.00005327163,0.000004662031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001862002,"about_ca_system_score_gemma":0.000006338192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00643799,"about_ca_topic_score_gemma":0.01360953,"domain_scores_codex":[0.9991596,0.000001753818,0.0003031809,0.0001696622,0.0001946708,0.000171155],"domain_scores_gemma":[0.9998314,0.000005086835,0.00007659815,0.0000437224,0.00001923909,0.00002390063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002088158,0.0002888635,0.6806641,0.00008381023,0.0000446202,9.765528e-7,0.02598683,0.0002246617,0.2872042,0.0003132584,0.003529826,0.001449966],"study_design_scores_gemma":[0.0005247664,0.0001858297,0.9007045,0.00002057058,0.00001872744,0.000004044702,0.0008416407,0.000316936,0.09386591,0.0007623646,0.002596031,0.0001586854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955385,0.000002738021,0.0001487564,0.0001967167,0.0000472977,0.0003167229,0.00000216859,0.00001224136,0.003734856],"genre_scores_gemma":[0.9964979,0.00002089792,0.001130342,0.00004807943,0.00001383181,0.00003244844,0.00002757966,0.000008255704,0.00222062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2200404,"threshold_uncertainty_score":0.9732358,"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."}}