{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001105502,0.0001945338,0.0001681308,0.00005304943,0.0003780821,0.0001241185,0.0001636964,0.00004848539,0.0006402701],"category_scores_gemma":[0.00002732047,0.0001604383,0.00005964277,0.0002988038,0.0001966835,0.0006082378,0.0004842879,0.0001170281,0.004421789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009241,"about_ca_system_score_gemma":0.000001063222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009692535,"about_ca_topic_score_gemma":0.0002095681,"domain_scores_codex":[0.9985389,0.000195294,0.0002080712,0.0003770816,0.0001874217,0.0004932048],"domain_scores_gemma":[0.9995793,0.00008408984,0.00005625125,0.0002110177,0.00000478754,0.00006455198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002147655,0.0006225872,0.6094921,0.002963336,0.0004402896,0.0008342863,0.1607017,0.0002806397,0.005666578,0.007114594,0.01200825,0.1996608],"study_design_scores_gemma":[0.001445221,0.0004874833,0.8591956,0.001315469,0.0004590178,0.00008542254,0.007428847,0.0566968,0.000522643,0.007004232,0.06347069,0.001888544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747599,0.0007941077,0.0001261814,0.004680461,0.0005435523,0.000555666,0.00002526295,0.0003030928,0.01821171],"genre_scores_gemma":[0.9970075,0.0006474835,0.0001184448,0.001458889,0.0003003746,0.0001266504,0.0000516672,0.00003269843,0.0002562988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2497035,"threshold_uncertainty_score":0.9963534,"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."}}