{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001430185,0.00005653367,0.00008398068,0.00001122631,0.00003471641,0.000007610881,0.0001030471,0.00005364863,0.00001024895],"category_scores_gemma":[0.00006349927,0.00003761676,0.0000167964,0.0001598767,0.0001577857,0.00003664048,0.0001201192,0.00003778498,0.000005034666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004726176,"about_ca_system_score_gemma":0.000001353425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003454651,"about_ca_topic_score_gemma":0.0003513744,"domain_scores_codex":[0.9994791,0.00002760974,0.0001321225,0.0001081326,0.0001017071,0.0001513344],"domain_scores_gemma":[0.9997743,0.00005152989,0.00004070156,0.00009041313,0.000002730959,0.00004037371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002105208,0.00002304512,0.9844814,0.000003417696,0.000001449929,2.840181e-7,0.00001890776,0.000002109879,0.006963466,0.0002077302,0.0002094064,0.008067731],"study_design_scores_gemma":[0.0005331683,0.00006245384,0.9700614,0.000008969671,0.000005419386,0.000007632488,0.00004241005,0.001281376,0.01071092,0.0132433,0.00395069,0.00009232581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991542,0.00007930068,0.000008972704,0.0002105306,0.0000256854,0.00005106404,0.00001159099,0.00000627624,0.008064536],"genre_scores_gemma":[0.999827,0.00004769646,0.0000569668,0.00003850795,0.00001029777,0.000003075347,0.00001238056,0.000001206777,0.000002849817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01442006,"threshold_uncertainty_score":0.1533967,"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."}}