{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002013912,0.00006276774,0.0000711758,0.000003390623,0.0002404636,0.000007298622,0.0001449845,0.00001535428,0.0001856028],"category_scores_gemma":[0.000005411356,0.00003754613,0.00001908556,0.0002332974,0.00007732787,0.00007373993,0.000251295,0.00003892856,0.000002758458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002587921,"about_ca_system_score_gemma":6.582985e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001235043,"about_ca_topic_score_gemma":0.001261804,"domain_scores_codex":[0.9994733,0.0000774547,0.0000873114,0.0001373982,0.0000978415,0.0001266664],"domain_scores_gemma":[0.999805,0.00002118478,0.00003728078,0.0001223463,0.000002029515,0.0000121093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002313295,0.00001266207,0.9846402,0.0000122563,0.000007183383,0.000002369081,0.007617892,0.0009220424,0.00007332758,0.0001317982,0.0009183876,0.005638714],"study_design_scores_gemma":[0.0002441319,0.0001005105,0.9976794,0.00000501358,0.000020859,0.000001849044,0.0003535278,0.0005813348,0.0001185577,0.0003289309,0.0005115443,0.00005436916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945502,0.00003080667,0.00001869544,0.004584757,0.00004569539,0.0003639287,0.000008851655,0.000007310263,0.0003897083],"genre_scores_gemma":[0.998499,0.00001016167,0.00006555163,0.0009396386,0.0000111398,0.0002368303,0.00001579291,0.000004836588,0.000217084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01303914,"threshold_uncertainty_score":0.203222,"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."}}