{"id":"W4210477025","doi":"10.3390/atmos13020225","title":"Investigation of the Long-Term Trends in the Streamflow Due to Climate Change and Urbanization for a Great Lakes Watershed","year":2022,"lang":"en","type":"article","venue":"Atmosphere","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; University of Guelph","funders":"","keywords":"Streamflow; Baseflow; Environmental science; Evapotranspiration; Precipitation; Watershed; Climate change; Hydrology (agriculture); Surface runoff; Urbanization; Drainage basin; Climatology; Geography; Meteorology; Geology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003034634,0.0001241271,0.0001277107,0.0007261764,0.0003205399,0.0005091495,0.0001773796,0.0001742912,0.0004661228],"category_scores_gemma":[0.001000173,0.00008033124,0.0002392601,0.00197413,0.0002322548,0.000329652,0.000288555,0.0001792181,0.00009094295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521023,"about_ca_system_score_gemma":0.00138832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3400933,"about_ca_topic_score_gemma":0.4966044,"domain_scores_codex":[0.9998094,0.00002127248,0.00001460593,0.00004888124,0.00006399829,0.00004174739],"domain_scores_gemma":[0.9994398,0.0001033652,0.0001491634,0.00004769085,0.0001897164,0.00007026774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002715336,0.00001831762,0.9923144,0.00001136479,0.00005637727,0.0001034533,0.0002046248,0.001193604,0.001034195,0.00005428511,0.0003715744,0.004610638],"study_design_scores_gemma":[7.254611e-7,0.000006680562,0.9979222,0.0000011722,0.000006258134,0.0000145968,0.0001482188,0.001485685,0.00009030558,0.000006837826,0.0003149559,0.000002306639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984661,0.00003134259,0.00006829933,0.00004043812,0.000001322305,0.000003782208,0.001039524,0.000007996878,0.0003412534],"genre_scores_gemma":[0.9969579,0.0000530441,0.0001802336,0.000009526904,0.000002923425,0.000007285906,0.002493458,0.000002127586,0.00029342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3400933,"threshold_uncertainty_score":0.6762274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02112419820237038,"score_gpt":0.220112528687983,"score_spread":0.1989883304856126,"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."}}