{"id":"W2098999708","doi":"10.1016/j.jhydrol.2008.05.033","title":"Uncertainty of the impact of climate change on the hydrology of a nordic watershed","year":2008,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":362,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Hydro-Québec; Commonwealth Scientific and Industrial Research Organisation","keywords":"Environmental science; Climate change; Precipitation; Watershed; Discharge; Climatology; Hydrology (agriculture); Greenhouse gas; Streamflow; Climate model; Range (aeronautics); Flood myth; Hydrological modelling; Drainage basin; Meteorology; Geography; 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":[0.002815211,0.00023612,0.0004732422,0.0007960548,0.0008437053,0.002083067,0.0005699961,0.0009074918,0.0004751348],"category_scores_gemma":[0.008563199,0.0003348834,0.0005518461,0.0008557429,0.001370276,0.0008624492,0.0006987373,0.0009074835,0.00004972985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004432911,"about_ca_system_score_gemma":0.002084538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2050169,"about_ca_topic_score_gemma":0.1719108,"domain_scores_codex":[0.9993321,0.0002501838,0.00005490921,0.000119552,0.0001341954,0.0001090186],"domain_scores_gemma":[0.9941021,0.004236068,0.000563391,0.0002055263,0.0005904557,0.0003025567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005951507,0.0001106947,0.1780997,0.00002656533,0.0002078478,0.001100798,0.0002583003,0.808321,0.001264827,0.005084033,0.000782817,0.004148305],"study_design_scores_gemma":[0.0001001569,0.0001323818,0.3972782,0.00005072396,0.000200717,0.0003085584,0.001396922,0.5868537,0.0012792,0.01059756,0.001684818,0.0001169596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976875,0.00009433544,0.0003908602,0.000377082,0.000008895657,0.000003033923,0.0002353294,0.000004502333,0.001198464],"genre_scores_gemma":[0.9995953,0.00005077982,0.0001098611,0.00001611174,0.000005557611,0.000001228828,0.000105264,0.000001087811,0.0001147551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2050169,"threshold_uncertainty_score":0.407647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02346249504015611,"score_gpt":0.2495483374225491,"score_spread":0.2260858423823929,"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."}}