{"id":"W2967257056","doi":"10.1007/s10596-019-09862-3","title":"A benchmark for soil organic matter degradation under variably saturated flow conditions","year":2019,"lang":"en","type":"article","venue":"Computational Geosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Biogeochemical cycle; Environmental science; Soil water; Hydrogeology; Soil organic matter; Degradation (telecommunications); Flow (mathematics); Soil science; Chemistry; Hydrology (agriculture); Environmental chemistry; Computer science; Engineering; Geotechnical engineering; Mechanics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0008561446,0.0009016418,0.0006497917,0.0009997183,0.0005563256,0.0009837801,0.001055824,0.001635186,0.001753321],"category_scores_gemma":[0.004541992,0.0002195126,0.0005343395,0.001488899,0.0005515119,0.0009169294,0.0006638036,0.0006581057,0.0003249757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000739905,"about_ca_system_score_gemma":0.001049949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02087076,"about_ca_topic_score_gemma":0.01192437,"domain_scores_codex":[0.9995595,0.00009690574,0.00002814073,0.0001054161,0.000111725,0.00009826849],"domain_scores_gemma":[0.9977394,0.001270641,0.0001541552,0.0002578656,0.0004266936,0.0001513172],"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":[0.0006019942,0.0004968977,0.007705639,0.0003310534,0.00008465705,0.0001789619,0.00004444984,0.9561411,0.004500141,0.003021593,0.004895058,0.02199852],"study_design_scores_gemma":[0.00007871683,0.0001873336,0.002846692,0.000009930467,0.00001128162,0.00003275297,0.00004239204,0.9900989,0.003648342,0.00213617,0.0008957555,0.00001178365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9551185,0.0009779216,0.02134136,0.0005058766,0.0001375111,0.00009327198,0.01059645,0.001554796,0.009674207],"genre_scores_gemma":[0.9717671,0.0002724808,0.01963561,0.00006445137,0.00003130958,0.00005854407,0.006798476,0.0001394938,0.001232603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02087076,"threshold_uncertainty_score":0.04149854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006016631495547991,"score_gpt":0.2083002778052866,"score_spread":0.2022836463097386,"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."}}