{"id":"W4236746591","doi":"10.5194/gmdd-6-1599-2013","title":"PEATBOG: a biogeochemical model for analyzing coupled carbon and nitrogen dynamics in northern peatlands","year":2013,"lang":"en","type":"preprint","venue":"","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biogeochemical cycle; Peat; Environmental science; Nitrogen cycle; Soil carbon; Vegetation (pathology); Mire; Nitrogen; Soil science; Soil water; Hydrology (agriculture); Chemistry; Ecology; Environmental chemistry; 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":[0.0002682349,0.0004535622,0.0004116611,0.000217301,0.0004473203,0.0005224451,0.0008756909,0.0006464716,0.001465118],"category_scores_gemma":[0.0005842049,0.0003493961,0.0004322147,0.0002205788,0.0005585486,0.0004728914,0.0005775905,0.0004306347,0.0001523722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001694068,"about_ca_system_score_gemma":0.002243804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1497366,"about_ca_topic_score_gemma":0.1255356,"domain_scores_codex":[0.9999418,0.00001645357,0.000002852981,0.00001376781,0.00001168613,0.00001344924],"domain_scores_gemma":[0.9998401,0.00006444343,0.00002057539,0.00001344949,0.00002769424,0.00003372004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003187726,0.00001582755,0.002404587,0.00001547501,0.00001711595,0.00004031974,0.00001847018,0.9943894,0.0008939267,0.0009924493,0.0001300414,0.001050563],"study_design_scores_gemma":[0.00002421023,0.000008789001,0.0006621876,0.000002500831,0.000005588649,0.000005554425,0.000007214181,0.9981463,0.0001626793,0.000496514,0.0004751543,0.000003387477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8966248,0.0002725195,0.08727285,0.0002786955,0.00005940903,0.0001270064,0.002275591,0.001148754,0.01194036],"genre_scores_gemma":[0.9797003,0.00009575713,0.01652733,0.00003302412,0.000008193218,0.0001361105,0.0006129296,0.00006166928,0.002824834],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1497366,"threshold_uncertainty_score":0.2977301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107063597196045,"score_gpt":0.2261196059772684,"score_spread":0.215048970005308,"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."}}