{"id":"W2005459622","doi":"10.1016/j.jglr.2011.09.006","title":"Effects of using air temperature as a proxy for potential evapotranspiration in climate change scenarios of Great Lakes basin hydrology","year":2011,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":132,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Evapotranspiration; Environmental science; Climate change; Surface runoff; Proxy (statistics); Hydrology (agriculture); Structural basin; Water cycle; Climatology; Drainage basin; Water balance; Energy balance; Air temperature; Energy budget; Greenhouse gas; Potential evaporation; Climate model; Geography; Geology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001609926,0.0001349058,0.0003878014,0.000350026,0.0001567795,0.000007106011,0.0002628862,0.0001567788,0.000127019],"category_scores_gemma":[0.0001005028,0.0001016744,0.0001204365,0.0003126246,0.0004658923,0.0003552511,0.0001301385,0.0003201529,0.000006457219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007830944,"about_ca_system_score_gemma":0.00001786998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002719248,"about_ca_topic_score_gemma":0.000271295,"domain_scores_codex":[0.9980956,0.0003585144,0.0004380562,0.0002017324,0.0004588837,0.000447198],"domain_scores_gemma":[0.9993878,0.0001193587,0.0002067411,0.0001316906,0.00008975781,0.00006462167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006300279,0.001048766,0.6644067,0.001625114,0.0003170589,0.0006080566,0.01258077,0.003240862,0.3063528,0.0002300772,0.0002541995,0.003035329],"study_design_scores_gemma":[0.01263241,0.01426719,0.6606272,0.001446197,0.0005930584,0.0002818958,0.0007210758,0.01354883,0.2881578,0.005717133,0.001244455,0.0007626879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978567,0.0001939211,0.00005284897,0.0004955565,0.0000999175,0.0007867308,0.000006297336,0.000003821177,0.0005042364],"genre_scores_gemma":[0.9990321,0.0002887527,0.00042969,0.00006679827,0.00006897428,0.00003156299,0.000001515335,0.0000126875,0.00006789403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01819498,"threshold_uncertainty_score":0.4146162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04869562185733912,"score_gpt":0.3111205353641723,"score_spread":0.2624249135068332,"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."}}