{"id":"W3162876501","doi":"10.1002/lol2.10201","title":"Impact of atmospheric pressure variations on methane ebullition and lake turbidity during ice‐cover","year":2021,"lang":"en","type":"preprint","venue":"Limnology and Oceanography Letters","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbidity; Environmental science; Methane; Atmospheric sciences; Atmosphere (unit); Water column; Oceanography; Atmospheric pressure; Hydrology (agriculture); Climatology; Geology; Meteorology; Chemistry; Geography","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":[0.0001551528,0.0002847161,0.0003854916,0.00004840119,0.0001138107,0.00003071087,0.0001360144,0.0004113595,0.001082724],"category_scores_gemma":[0.00001716446,0.000239342,0.0002091979,0.0002391006,0.0003639165,0.0000955095,0.0003680392,0.00066656,0.000005555541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000191785,"about_ca_system_score_gemma":0.00001024412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001555085,"about_ca_topic_score_gemma":0.00002563988,"domain_scores_codex":[0.9985061,0.000217631,0.0002684649,0.0005702606,0.0001544522,0.000283048],"domain_scores_gemma":[0.9992216,0.00008927228,0.0002377527,0.0003430354,0.000009778519,0.00009856238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002789702,0.0003682247,0.9038838,0.000414195,0.002295943,0.00006078204,0.002661622,0.06204218,0.02642788,0.0001100669,0.000670922,0.0007853776],"study_design_scores_gemma":[0.0005282095,0.0001488485,0.9967678,0.00007889615,0.0003058893,0.00002082155,0.00002473654,0.000627615,0.0004780694,0.000482122,0.0002306309,0.0003063518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973202,0.001048088,0.0001623345,0.0004646558,0.000252154,0.000232585,0.00007655089,0.00003152197,0.0004119119],"genre_scores_gemma":[0.9973403,0.00114651,0.001006918,0.000266014,0.00004448655,0.00001161507,0.0001050455,0.00001673444,0.00006240365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09288398,"threshold_uncertainty_score":0.9998304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006948866231121829,"score_gpt":0.2177431835556364,"score_spread":0.2107943173245146,"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."}}