{"id":"W1966804103","doi":"10.2166/nh.2009.061","title":"An assessment of long-term trends in hydrologic components and implications for water levels in Lake Superior","year":2009,"lang":"en","type":"article","venue":"Hydrology research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Environmental science; Surface runoff; Precipitation; Hydrology (agriculture); Climate change; Hydroelectricity; Term (time); Period (music); Streamflow; Discharge; Climatology; Physical geography; Drainage basin; Meteorology; Geography; Geology; Ecology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001442814,0.0001121293,0.0002510806,0.0003599885,0.0001509234,0.000009184363,0.000285209,0.0001263657,0.0002995535],"category_scores_gemma":[0.00001138915,0.00008676638,0.00002605248,0.0002404582,0.0005709355,0.0001455989,0.0002140293,0.0002361117,0.00001134534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005249264,"about_ca_system_score_gemma":0.000003700743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006166151,"about_ca_topic_score_gemma":0.002145476,"domain_scores_codex":[0.9982847,0.0002887018,0.0002614712,0.0004272507,0.0001295034,0.0006083585],"domain_scores_gemma":[0.9995505,0.00009149892,0.00002337395,0.0002654757,0.000009367992,0.00005974714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005749708,0.0003461748,0.9609302,0.000006235721,0.000008640783,0.00001226373,0.0003694655,0.0008208341,0.03392797,0.0001515694,0.00003301251,0.003336101],"study_design_scores_gemma":[0.0008465156,0.000700866,0.9917356,0.000003047458,0.000004757214,0.000002919601,0.000008214164,0.002497063,0.0004276542,0.003553624,0.000136385,0.00008332943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991168,0.00002236453,0.00005994007,0.006889821,0.00001568401,0.0003691828,0.00001300754,0.0000112628,0.001450781],"genre_scores_gemma":[0.9992269,0.00003853759,0.0001806728,0.000218147,0.000008574307,0.000133889,0.00005154061,0.000005836318,0.0001359145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03350031,"threshold_uncertainty_score":0.353823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1015967998056953,"score_gpt":0.4258416067351463,"score_spread":0.324244806929451,"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."}}