{"id":"W2946282005","doi":"10.1101/648154","title":"Large increases in emissions of methane and nitrous oxide from eutrophication in Lake Erie","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Environment and Climate Change Canada","funders":"","keywords":"Eutrophication; Environmental science; Greenhouse gas; Tonne; Phytoplankton; Hydrology (agriculture); Nitrous oxide; Nutrient; Sink (geography); Methane; Oceanography; Ecology; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001448203,0.0001867979,0.000191922,0.0003460345,0.0003226382,0.0005053053,0.0001340969,0.0003765207,0.0008392135],"category_scores_gemma":[0.0001642531,0.0001840934,0.0001963625,0.0005234318,0.0001957105,0.0002699099,0.000693854,0.0001889651,0.00015281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005588876,"about_ca_system_score_gemma":0.0003695139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03288787,"about_ca_topic_score_gemma":0.06466973,"domain_scores_codex":[0.9998935,0.00000955186,0.00000679611,0.00002966,0.0000256089,0.00003481665],"domain_scores_gemma":[0.9999409,0.000007172947,0.0000228759,0.000003758476,0.00001793222,0.000007446205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005653078,0.00007018474,0.8333438,0.0001890942,0.0002863096,0.001116182,0.001804378,0.002934029,0.1429236,0.0002669285,0.001332445,0.01516781],"study_design_scores_gemma":[0.000008691784,0.00003022753,0.9871686,0.0000101886,0.00004048349,0.00009313614,0.0007490658,0.001303042,0.008167891,0.00005539615,0.002362835,0.00001047049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985741,0.00005534839,0.000104149,0.00006349671,0.000001481111,0.000002242884,0.0002962245,0.0000169215,0.0008860811],"genre_scores_gemma":[0.9982582,0.00008310649,0.0002943744,0.00004368767,0.0000019581,0.000005170521,0.0004087246,0.000008659474,0.0008962325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03288787,"threshold_uncertainty_score":0.06539291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009582263270560118,"score_gpt":0.1942307559335018,"score_spread":0.1846484926629416,"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."}}