{"id":"W2136664195","doi":"10.2980/17-2-3245","title":"Inundating contrasting boreal forest soils: CO<sub>2</sub> and CH<sub>4</sub> production rates","year":2010,"lang":"en","type":"article","venue":"Ecoscience","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Podzol; Environmental science; Soil water; Taiga; Carbon dioxide; Organic matter; Q10; Soil carbon; Boreal; Animal science; Environmental chemistry; Agronomy; Chemistry; Soil science; Ecology; Botany; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002312029,0.0002837491,0.0001747297,0.0003133833,0.0003444379,0.0005290746,0.0002820233,0.0001856474,0.0003744949],"category_scores_gemma":[0.0002436567,0.0001845154,0.0001547271,0.0002504374,0.0003669576,0.0002435958,0.0001787738,0.0002145982,0.00006106385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101196,"about_ca_system_score_gemma":0.0004159468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07873566,"about_ca_topic_score_gemma":0.1359337,"domain_scores_codex":[0.9998473,0.00002008524,0.0000138627,0.00005724837,0.00002720961,0.00003434602],"domain_scores_gemma":[0.9996618,0.00005275181,0.0001221024,0.00001450683,0.00007071943,0.00007806815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001538504,0.0001764526,0.3973261,0.00005587806,0.0001037833,0.0001953808,0.0003763478,0.000345451,0.5944702,0.00007368268,0.0000973753,0.00524087],"study_design_scores_gemma":[0.00001226514,0.0001176625,0.9916818,0.000001681315,0.00001694827,0.00005502196,0.0002089644,0.0003636048,0.007357803,0.00001650509,0.0001622371,0.000005486285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997416,0.00002713957,0.00003332791,0.000003202154,9.604631e-7,0.000002362995,0.0000549445,0.000002118039,0.000134273],"genre_scores_gemma":[0.9994782,0.00002816507,0.0001546654,0.00001004243,0.000001754294,0.000004809413,0.0002079189,0.00000242389,0.0001120954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07873566,"threshold_uncertainty_score":0.1565547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008354437225244732,"score_gpt":0.2256608414702715,"score_spread":0.2173064042450267,"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."}}