{"id":"W2149297737","doi":"10.5194/gmd-7-867-2014","title":"Modeling dissolved organic carbon in temperate forest soils: TRIPLEX-DOC model development and validation","year":2014,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McGill University; Université du Québec à Montréal","funders":"National Key Research and Development Program of China; Chinese Academy of Sciences; BIOCAP Canada; Natural Sciences and Engineering Research Council of Canada; McMaster University; National Natural Science Foundation of China; Canadian Foundation for Climate and Atmospheric Sciences; Ontario Innovation Trust; Ministry of Natural Resources","keywords":"Dissolved organic carbon; Biogeochemical cycle; Environmental science; Temperate forest; Leaching (pedology); Soil water; Ecosystem; Terrestrial ecosystem; Forest ecology; Temperate rainforest; Carbon cycle; Aquatic ecosystem; Forest floor; Soil carbon; Environmental chemistry; Soil science; Ecology; Chemistry; 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":[0.000689953,0.0007913143,0.0006771843,0.0003552677,0.0004434543,0.000768762,0.001086664,0.0008750365,0.0009433082],"category_scores_gemma":[0.000798381,0.0003129402,0.000654221,0.0004583131,0.0003728639,0.0004662157,0.0006645841,0.0007807963,0.000159708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248909,"about_ca_system_score_gemma":0.001597645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08632056,"about_ca_topic_score_gemma":0.04353971,"domain_scores_codex":[0.9998797,0.00002928523,0.00001096122,0.00002670329,0.00002884581,0.00002442047],"domain_scores_gemma":[0.9994854,0.0002225355,0.00004280829,0.00003944814,0.0001582957,0.00005152003],"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":[0.00006569162,0.00007377705,0.005368468,0.00003964219,0.00003456255,0.0000529063,0.00001823201,0.9893878,0.001275035,0.0004454583,0.0001865107,0.003052012],"study_design_scores_gemma":[0.00001709164,0.00002234244,0.0007055341,0.000002290014,0.00000563001,0.000003505314,0.000007748176,0.998425,0.0005407073,0.00007989707,0.0001863367,0.000004050143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719767,0.0002447511,0.01975788,0.0001529157,0.00004388233,0.0001196252,0.002475906,0.0005182797,0.004710063],"genre_scores_gemma":[0.9754409,0.0002034096,0.02065127,0.00006133989,0.00001122025,0.0001877912,0.002042846,0.00005288117,0.001348349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08632056,"threshold_uncertainty_score":0.1716363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081073833973679,"score_gpt":0.1937217497333338,"score_spread":0.172911011393597,"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."}}