{"id":"W2072081056","doi":"10.1007/s10584-014-1085-4","title":"Climate change drives coherent trends in physics and oxygen content in North American lakes","year":2014,"lang":"en","type":"article","venue":"Climatic Change","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; Ministry of the Environment, Conservation and Parks","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Federation of Anglers and Hunters","keywords":"Climate change; Epilimnion; Hypolimnion; Environmental science; Water column; Thermocline; Global warming; Hydrology (agriculture); Oceanography; Physical geography; Climatology; Ecology; Geology; Geography; Eutrophication; Nutrient","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":[],"consensus_categories":[],"category_scores_codex":[0.0002420091,0.0001766675,0.0003540346,0.00005892212,0.00004398479,0.00002275924,0.000129956,0.0000306837,0.0001230519],"category_scores_gemma":[0.00001178563,0.0001538229,0.00003482611,0.0003623586,0.0001348137,0.0001297524,0.000143846,0.0001005295,0.00008115205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009876672,"about_ca_system_score_gemma":0.000001004483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001680874,"about_ca_topic_score_gemma":0.1284358,"domain_scores_codex":[0.9987879,0.00008445753,0.0002981442,0.0002852032,0.0001663458,0.0003779471],"domain_scores_gemma":[0.9994497,0.00006970371,0.0001635454,0.0002213275,0.00000315512,0.00009252645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005938298,0.00007377224,0.8588148,0.00005155512,0.000002297655,0.000003261385,0.004059506,0.00000986858,0.00001219877,0.0001923797,0.00001841842,0.1367559],"study_design_scores_gemma":[0.0004100236,0.000111975,0.9436345,0.00007189433,0.000006982958,0.000002014421,0.000377553,0.0546978,0.000002087177,0.00006836957,0.0004332564,0.0001835139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967757,0.0000460004,0.00002171659,0.000260395,0.0000758224,0.0003508783,0.00003208905,0.00001975631,0.002417626],"genre_scores_gemma":[0.998935,0.00013952,0.0001730804,0.0003274111,0.0001097957,0.0002245926,0.00003696144,0.00001701067,0.00003658427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1365724,"threshold_uncertainty_score":0.887468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04978563398356292,"score_gpt":0.2492569177260312,"score_spread":0.1994712837424683,"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."}}