{"id":"W4404824249","doi":"10.1007/s10584-024-03830-2","title":"Increasing warm-season evaporation rates across European lakes under climate change","year":2024,"lang":"en","type":"article","venue":"Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Global Water Futures; Natural Environment Research Council; UK Research and Innovation; Deutsche Forschungsgemeinschaft; Ministry of Business, Innovation and Employment; Higher Education Authority; Sight Research UK","keywords":"Climate change; Environmental science; Evaporation; Atmospheric sciences; Climatology; Oceanography; 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":[0.0006884981,0.0002654026,0.000259404,0.000506182,0.0002445896,0.0009111605,0.0002659028,0.000453795,0.0005807644],"category_scores_gemma":[0.0009753793,0.0001672523,0.0007377881,0.0006955442,0.0002214457,0.0008514731,0.0006331426,0.0001954783,0.00006147049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000532651,"about_ca_system_score_gemma":0.0003958806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01893112,"about_ca_topic_score_gemma":0.01577882,"domain_scores_codex":[0.9997783,0.00006092103,0.00002237855,0.00006453219,0.00003923036,0.00003463282],"domain_scores_gemma":[0.9996645,0.00008067305,0.0001012315,0.00003746675,0.0000893034,0.00002684178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003343599,0.00006883344,0.7624111,0.0001381722,0.0008881832,0.0005154209,0.0004214135,0.1991562,0.01407023,0.001093459,0.0009063456,0.01999628],"study_design_scores_gemma":[0.00003234364,0.00008788248,0.8472955,0.00002814086,0.0001898863,0.0001640235,0.0003216627,0.144462,0.005124165,0.0005314908,0.001708534,0.00005423905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977718,0.0001297995,0.001136659,0.00007055551,0.000003825477,0.000003405901,0.0003930035,0.00003462732,0.000456443],"genre_scores_gemma":[0.9991505,0.00006452254,0.0003811856,0.0000122047,0.000002683002,0.000003254374,0.0003140368,0.000004877648,0.00006670779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01893112,"threshold_uncertainty_score":0.03764188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06561344143202136,"score_gpt":0.3089011562410651,"score_spread":0.2432877148090438,"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."}}