{"id":"W3116674105","doi":"10.1029/2020gl091374","title":"A New Thermal Categorization of Ice‐Covered Lakes","year":2020,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Ministry of Natural Resources and Forestry; Queen's University; Ministry of the Environment, Conservation and Parks; University of Guelph; The Scarborough Hospital; Ministry of Environment; Environment and Climate Change Canada; Fisheries and Oceans Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Stratification (seeds); Thermal stratification; Geology; Water column; Trophic level; Climatology; Environmental science; Physical geography; Atmospheric sciences; Oceanography; Geography; Paleontology","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":[0.0001668722,0.0001989369,0.0001095953,0.001284071,0.0003786123,0.0008365642,0.0002563858,0.0001605109,0.001873891],"category_scores_gemma":[0.000596272,0.0001056317,0.0002068141,0.0006193742,0.0005282555,0.0005720377,0.0005582583,0.0001628663,0.0002491869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004787103,"about_ca_system_score_gemma":0.0003121411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00867624,"about_ca_topic_score_gemma":0.0105982,"domain_scores_codex":[0.9998945,0.00001991692,0.00001237899,0.00001952715,0.00002494701,0.00002876739],"domain_scores_gemma":[0.9997222,0.00004527919,0.00005793451,0.00002110364,0.0001166736,0.00003677217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005482138,0.00007452302,0.8397129,0.0001604101,0.0001257468,0.0004313547,0.003528877,0.01830438,0.0357919,0.02133184,0.004388522,0.07560126],"study_design_scores_gemma":[0.00004198902,0.0001610034,0.8742406,0.00007444574,0.00009464737,0.0005982902,0.003027946,0.0917339,0.004882916,0.01249369,0.01258982,0.00006076374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751346,0.000231873,0.009188241,0.0001270351,0.0000216167,0.0000432755,0.0005867748,0.0001322052,0.0145344],"genre_scores_gemma":[0.9952101,0.00004793914,0.003645296,0.00002417025,0.00001152926,0.00001912307,0.000327101,0.00001307013,0.0007017696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00867624,"threshold_uncertainty_score":0.01725143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04661622446000701,"score_gpt":0.2873679633696221,"score_spread":0.2407517389096151,"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."}}