{"id":"W1630877035","doi":"10.1002/2014gb005000","title":"The stoichiometry of carbon and nutrients in peat formation","year":2014,"lang":"en","type":"article","venue":"Global Biogeochemical Cycles","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nature Conservancy of Canada; Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Peat; Bog; Nutrient; Litter; Biogeochemical cycle; Plant litter; Vegetation (pathology); Phosphorus; Environmental chemistry; Chemistry; Carbon fibers; Environmental science; Ecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002001146,0.0001572916,0.0001945152,0.001116137,0.0007202585,0.0007740094,0.0002598354,0.0001729819,0.0005038365],"category_scores_gemma":[0.0003933207,0.0001888572,0.000107097,0.0007424279,0.0005744967,0.0003026085,0.0002805941,0.00008757228,0.00009247694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002717427,"about_ca_system_score_gemma":0.001330873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.414605,"about_ca_topic_score_gemma":0.5795099,"domain_scores_codex":[0.999846,0.00001029294,0.00001040734,0.00004336814,0.00004856131,0.00004146275],"domain_scores_gemma":[0.9997633,0.00002506753,0.00005519426,0.00001042227,0.00009899642,0.00004702619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000139314,0.00001030231,0.9318433,0.00009015657,0.00006653983,0.000171507,0.0005655971,0.001099053,0.05891027,0.0002003206,0.0001097328,0.006793823],"study_design_scores_gemma":[0.000001302732,0.000007774061,0.9971139,0.000006217025,0.000006144724,0.00005288878,0.0002532507,0.0004456724,0.00161186,0.00006841204,0.000429215,0.000003290376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987954,0.0001775404,0.0001004989,0.00000524732,8.395624e-7,0.000003192878,0.0001831738,0.000003492863,0.000730668],"genre_scores_gemma":[0.9992927,0.00009281171,0.0001922329,0.000004557464,6.533394e-7,0.000003074564,0.0001837714,0.00000202347,0.0002282849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.414605,"threshold_uncertainty_score":0.8243834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00506711594313705,"score_gpt":0.2141453264092393,"score_spread":0.2090782104661023,"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."}}