{"id":"W186366751","doi":"","title":"The impact of vegetation on dissolved organic carbon quality and quantity in peatlands","year":2010,"lang":"en","type":"article","venue":"EGUGA","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peat; Biogeochemistry; Vegetation (pathology); Geography; Human geography; Vegetation cover; Archaeology; Engineering; Oceanography; Land use; Civil engineering; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029591,0.0001144275,0.0001870494,0.0004514132,0.0003986032,0.0007950902,0.0002222468,0.0002008411,0.0006806348],"category_scores_gemma":[0.001085229,0.0001762189,0.0001440629,0.0004702828,0.0006567743,0.0004504448,0.000472865,0.0001677279,0.000121349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672206,"about_ca_system_score_gemma":0.0008447256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2053602,"about_ca_topic_score_gemma":0.3851709,"domain_scores_codex":[0.9997748,0.00006164263,0.00001583148,0.00003782598,0.00005202506,0.0000578229],"domain_scores_gemma":[0.9990624,0.0002538133,0.0002018511,0.00003381191,0.0002277769,0.0002203283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008729299,0.00008453637,0.9689261,0.00006450845,0.0001165203,0.0002857132,0.0005775029,0.0007737238,0.0189805,0.0001778355,0.0002265854,0.008913388],"study_design_scores_gemma":[0.000002013475,0.00002295511,0.999136,0.000002645033,0.000005119867,0.00002570306,0.0002085017,0.0001684888,0.0003123805,0.00004330611,0.00006998373,0.000002740209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994376,0.0001068765,0.00003117451,0.00001969423,0.000001104188,0.000001445328,0.00008869865,0.000001471442,0.0003118716],"genre_scores_gemma":[0.9996873,0.00004406804,0.00003876246,0.000008309662,9.193042e-7,0.000001208211,0.00007040227,0.000001507069,0.000147515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2053602,"threshold_uncertainty_score":0.4083297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302630383963156,"score_gpt":0.2889528217114516,"score_spread":0.27592651787182,"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."}}