{"id":"W1993314611","doi":"10.1007/s10584-015-1326-1","title":"Sensitivity of lake thermal and mixing dynamics to climate change","year":2015,"lang":"en","type":"article","venue":"Climatic Change","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":268,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lomonosov Moscow State University; Université du Québec à Montréal; Helsingin Yliopisto; Office of Research and Development; National Center for Atmospheric Research; U.S. Environmental Protection Agency; National Science Foundation","keywords":"Sensitivity (control systems); Mixing (physics); Environmental science; Climate change; Climatology; Thermal; Atmospheric sciences; Climate sensitivity; Meteorology; Geology; Climate model; Oceanography; Geography; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0008995056,0.0001340752,0.0002517956,0.00003128214,0.00005139854,0.00001556201,0.00008013688,0.00005883656,0.0001032943],"category_scores_gemma":[0.00005445314,0.0001195311,0.00003098581,0.0001441234,0.0000664545,0.0001657535,0.0002812705,0.00006221923,0.0001620982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008334452,"about_ca_system_score_gemma":0.000003196998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005325665,"about_ca_topic_score_gemma":0.01929373,"domain_scores_codex":[0.998985,0.00008453168,0.0002247224,0.0002028229,0.0002203145,0.0002826099],"domain_scores_gemma":[0.9993531,0.0000886678,0.00012072,0.000233621,0.00001150032,0.0001923966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000320309,0.0001053962,0.9424941,0.0003296061,0.0000136718,0.00002956709,0.01537566,0.00008196612,0.0004402512,0.001563043,0.0001466468,0.03938806],"study_design_scores_gemma":[0.0007082981,0.0002952217,0.5030407,0.0003397813,0.00005357518,0.00006131904,0.001964501,0.4913592,0.000061759,0.0004697214,0.001106937,0.0005390826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935954,0.00003012758,0.0004377017,0.0003859721,0.0001744297,0.000514493,0.0001457126,0.00002601178,0.004690121],"genre_scores_gemma":[0.9982213,0.0000154675,0.001243165,0.0003122657,0.00009112068,0.00004791217,0.00002086088,0.00001672788,0.00003121628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4912772,"threshold_uncertainty_score":0.9986016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04696963569312745,"score_gpt":0.2543757635734893,"score_spread":0.2074061278803618,"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."}}