{"id":"W2144959555","doi":"10.5194/piahs-365-16-2015","title":"Estimating sea-level allowances for Atlantic Canada under conditions of uncertain sea-level rise","year":2015,"lang":"en","type":"article","venue":"Proceedings of the International Association of Hydrological Sciences","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Bedford Institute of Oceanography; Geological Survey of Canada; Natural Resources Canada; Fisheries and Oceans Canada","funders":"Natural Resources Canada","keywords":"Tide gauge; Storm surge; Sea level; Coastal flood; Sea level rise; Gumbel distribution; Climatology; Post-glacial rebound; Climate change; Range (aeronautics); Return period; Storm; Environmental science; Oceanography; Flooding (psychology); Geography; Extreme value theory; Physical geography; Geology; Flood myth; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001243218,0.00007878486,0.0001682127,0.00003790494,0.0001349742,0.00003061247,0.0006058399,0.0000414596,0.00005001598],"category_scores_gemma":[0.001265278,0.00005053294,0.0000712423,0.0002217393,0.0001527409,0.0001856604,0.00003279325,0.00006106788,9.854408e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004831114,"about_ca_system_score_gemma":0.0002605434,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1346985,"about_ca_topic_score_gemma":0.07018221,"domain_scores_codex":[0.9981774,0.00001379963,0.0003156783,0.0001604102,0.001165897,0.0001667773],"domain_scores_gemma":[0.9982409,0.0002863773,0.0006977791,0.00002864894,0.000693779,0.00005254979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001585863,0.00003152841,0.9798321,0.00001279854,0.0000400194,3.890382e-8,0.00005188915,0.01531882,0.000443395,0.001616545,0.002507213,0.000129791],"study_design_scores_gemma":[0.0003676743,0.0001756069,0.8400447,0.0000459134,0.00002714229,0.000001029709,0.0002728734,0.08812467,0.001884187,0.06871465,0.0002382226,0.0001033198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918851,0.00001480814,0.00004181001,0.004310989,0.0004062896,0.0001481752,0.0005924213,0.000004699255,0.002595675],"genre_scores_gemma":[0.9973645,0.000001448101,0.002258593,0.000137536,0.00005434204,0.000002713814,0.00002453424,0.000001008983,0.0001552753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1397874,"threshold_uncertainty_score":0.9467846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08427020714104036,"score_gpt":0.2732255758395147,"score_spread":0.1889553686984744,"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."}}