{"id":"W2108993406","doi":"10.1109/eicccc.2006.277254","title":"Can We Adequately Quantify the Increase/Decrease of Flooding Due to Climate Change?","year":2006,"lang":"en","type":"article","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Downscaling; Climate change; Environmental science; Flooding (psychology); Flood myth; Climate model; Climatology; Hydrological modelling; Watershed; Streamflow; Snowmelt; Environmental resource management; Computer science; Drainage basin; Meteorology; Geography; Snow; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007556898,0.001036247,0.0009965607,0.003186133,0.0003648491,0.002922082,0.0009420736,0.001928841,0.001914055],"category_scores_gemma":[0.03682355,0.0003610284,0.0008529327,0.003069074,0.002653722,0.008109,0.00132203,0.001136476,0.0006883856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162001,"about_ca_system_score_gemma":0.001615141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01380797,"about_ca_topic_score_gemma":0.009652355,"domain_scores_codex":[0.9972069,0.001566317,0.000223324,0.0003383007,0.0005084025,0.0001566747],"domain_scores_gemma":[0.9899958,0.005201413,0.002189128,0.0009370923,0.001388607,0.0002880243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002348448,0.000204576,0.1902128,0.002230544,0.0007051703,0.000141589,0.0006127914,0.1714987,0.002540839,0.06839621,0.01494103,0.5482809],"study_design_scores_gemma":[0.00006423194,0.0007106774,0.2159527,0.002392334,0.0004705433,0.0005207011,0.004504435,0.2724964,0.003126703,0.4106499,0.0887483,0.0003631028],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3470675,0.07032269,0.4549681,0.06874077,0.002245604,0.0005150224,0.0105451,0.001221564,0.04437368],"genre_scores_gemma":[0.9202645,0.02522,0.04864372,0.001439824,0.000885748,0.0002401483,0.00185129,0.0001359509,0.001318725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01380797,"threshold_uncertainty_score":0.03996521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02497813031445527,"score_gpt":0.2394481248324242,"score_spread":0.2144699945179689,"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."}}