{"id":"W2905643058","doi":"10.1038/s41586-018-0800-0","title":"Greenland melt drives continuous export of methane from the ice-sheet bed","year":2018,"lang":"en","type":"article","venue":"Nature","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":133,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; University of Toronto; University of Bristol; Grantová Agentura České Republiky; Sight Research UK; Leverhulme Trust","keywords":"Methane; Greenland ice sheet; Geology; Ice sheet; Oceanography; Antarctic ice sheet; Earth science; Cryosphere; Astrobiology; Chemistry; Sea ice","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":[0.0001093276,0.000181789,0.0002460334,0.0002521413,0.0003790717,0.0009739431,0.0002275559,0.0003949676,0.001903357],"category_scores_gemma":[0.0002408908,0.0003052482,0.000316509,0.0002663694,0.0003458274,0.0004641728,0.0004750825,0.0002894762,0.000225746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098128,"about_ca_system_score_gemma":0.0006066296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0325639,"about_ca_topic_score_gemma":0.0435669,"domain_scores_codex":[0.99994,0.000004744815,0.000003340968,0.00002171503,0.000007632746,0.00002247728],"domain_scores_gemma":[0.9999263,0.00001751306,0.00001841839,0.000007261852,0.00001269125,0.00001775197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001326977,0.0002042544,0.5093151,0.0001220445,0.0003108211,0.0008320443,0.0005726063,0.03859311,0.4276833,0.002459352,0.001909128,0.01667135],"study_design_scores_gemma":[0.00002989967,0.00005821968,0.9419183,0.00001383022,0.00004363714,0.00005405422,0.0005882078,0.04165976,0.01321331,0.0008697393,0.001529176,0.00002181132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984989,0.00005745604,0.0002102723,0.00009383078,0.000007067999,0.000001219419,0.0001808177,0.00002591007,0.0009245495],"genre_scores_gemma":[0.9995266,0.00003550355,0.00005645649,0.00001724077,0.000002690382,9.678258e-7,0.0001408253,0.00001024725,0.0002093299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0325639,"threshold_uncertainty_score":0.0647487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004566708081767045,"score_gpt":0.2117789847588447,"score_spread":0.2072122766770777,"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."}}