{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001526392,0.0003128637,0.000327541,0.0003159478,0.0003809844,0.0002591555,0.0002776417,0.0001073426,0.00006520939],"category_scores_gemma":[0.00003918572,0.0002815714,0.00003102278,0.0003741246,0.00003558718,0.0002863208,0.0001000399,0.0001645914,0.00004720173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004897646,"about_ca_system_score_gemma":0.0004916024,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001092711,"about_ca_topic_score_gemma":0.0303333,"domain_scores_codex":[0.9971669,0.00006893525,0.0007664393,0.0007985524,0.0005549665,0.0006441976],"domain_scores_gemma":[0.9992525,0.00002471883,0.0001060432,0.0002929618,0.00008942821,0.0002343648],"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":[0.00002608189,0.0000359489,0.02952751,0.00007723161,0.00001102281,0.000001948627,0.001796906,0.9433685,0.0002244072,0.00007841362,0.00002655915,0.02482549],"study_design_scores_gemma":[0.0004470248,0.00001296477,0.0059947,0.00005727242,0.000006352983,0.000003716645,0.0001231795,0.9913532,0.0004847416,0.0007101772,0.0004002167,0.0004064145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9159592,0.00005616446,0.08065733,0.00004680159,0.0003253541,0.0003498967,0.00001106632,0.00006374905,0.002530433],"genre_scores_gemma":[0.9850968,0.00001504208,0.01145963,0.00006670837,0.00002506187,0.00002268624,0.0003574247,0.00001251838,0.002944191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0691977,"threshold_uncertainty_score":0.9999636,"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."}}