{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003822917,0.0002584388,0.0001999223,0.0003197019,0.0003730184,0.0006574105,0.0002275336,0.0003937411,0.0009313591],"category_scores_gemma":[0.001230597,0.0001910588,0.0004401466,0.0003890803,0.0003135866,0.0005662865,0.0005406219,0.0003429313,0.00008884856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009352834,"about_ca_system_score_gemma":0.0003500294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01980985,"about_ca_topic_score_gemma":0.01326877,"domain_scores_codex":[0.9998395,0.00005104537,0.00001023444,0.00003729392,0.00001974255,0.00004208828],"domain_scores_gemma":[0.9996785,0.0001255462,0.0000674557,0.00002974173,0.00005637183,0.00004244773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005852635,0.0001773181,0.5439855,0.00007468332,0.0004499884,0.0002734408,0.0002393116,0.4235027,0.01947686,0.001726802,0.001213514,0.008294613],"study_design_scores_gemma":[0.00005931185,0.0002054341,0.4503995,0.00001272308,0.00008671021,0.00008043366,0.0003289804,0.5417005,0.004715828,0.001322952,0.001039003,0.00004854035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990247,0.00001943412,0.0001977514,0.00006377594,0.000002941018,0.000003328764,0.0002198128,0.00001753502,0.0004506069],"genre_scores_gemma":[0.9996566,0.00001731174,0.0000699245,0.00001124203,0.000001387603,0.000003409211,0.000186749,0.000002786495,0.00005055982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01980985,"threshold_uncertainty_score":0.03938907,"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."}}