{"id":"W2189861928","doi":"10.1038/ngeo2611","title":"Nitrous oxide sinks and emissions in boreal aquatic networks in Québec","year":2015,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":163,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Groupe de recherche interuniversitaire en limnologie","keywords":"Nitrous oxide; Boreal; Environmental science; Taiga; Atmospheric sciences; Hydrology (agriculture); Oceanography; Ecology; Geology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003964005,0.0001079061,0.0001119627,0.00006333489,0.00005572047,0.00002997995,0.0002662215,0.0001770213,0.000003138179],"category_scores_gemma":[0.0001836828,0.00008602914,0.00001348157,0.0006562277,0.0002510908,0.0002164433,0.0001985517,0.0005013564,0.00001532398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002377553,"about_ca_system_score_gemma":0.00004998775,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04776498,"about_ca_topic_score_gemma":0.0359866,"domain_scores_codex":[0.9988329,0.00003914174,0.0001525061,0.0003353234,0.0002945591,0.0003455792],"domain_scores_gemma":[0.9995584,0.00004823549,0.00003564708,0.0001663456,0.000003976976,0.0001874339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009226579,0.00003950213,0.9946306,9.268882e-7,2.218467e-7,0.00002167975,0.0004336414,0.001406406,0.0000107149,0.00003084712,0.000288791,0.003127422],"study_design_scores_gemma":[0.0003987976,0.00003505963,0.8769263,0.0000213635,0.000001890712,0.00001661448,0.0001608319,0.1163216,0.000004637564,0.004455755,0.001506666,0.0001504687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957325,0.0002403929,0.0002688276,0.0008543218,0.0001312581,0.0001048162,0.000001198383,0.00001964638,0.002647051],"genre_scores_gemma":[0.9984195,0.00002023429,0.0007805787,0.0005138486,0.00001533616,0.000006495636,0.000002801021,0.000005275163,0.0002359193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1177043,"threshold_uncertainty_score":0.9816041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006074111681155962,"score_gpt":0.2180697558749402,"score_spread":0.2119956441937842,"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."}}