{"id":"W2726498271","doi":"10.1139/cjfr-2016-0533","title":"Decomposition rates of surface and buried forest-floor material","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Forest floor; Humus; Environmental science; Geology; Soil horizon; Precipitation; Hydrology (agriculture); Soil science; Soil water; Forestry; Physical geography; Geography; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002564965,0.0003869547,0.0002720594,0.0007053525,0.000478266,0.0007403327,0.0003678491,0.0002543508,0.001030804],"category_scores_gemma":[0.0006384627,0.0002276577,0.0002370663,0.0005113941,0.0004937153,0.0003234926,0.0004541791,0.0004014757,0.0002096683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263141,"about_ca_system_score_gemma":0.0005471538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06847686,"about_ca_topic_score_gemma":0.1467121,"domain_scores_codex":[0.999675,0.00001764322,0.00001743245,0.0001056909,0.00009246539,0.00009173173],"domain_scores_gemma":[0.9993356,0.00007203079,0.0002133978,0.0000712469,0.0001774393,0.0001303086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001061782,0.00008505499,0.7066212,0.0001472667,0.000140733,0.0002177568,0.001022398,0.001678744,0.2655879,0.000133444,0.0001047986,0.02319893],"study_design_scores_gemma":[0.000003244959,0.000106568,0.9902874,0.000008816474,0.0000140747,0.00008998242,0.0001756926,0.000653752,0.00842673,0.00003181602,0.0001957837,0.000006159835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990232,0.0001262248,0.00020106,0.000002216833,0.000001008866,0.000008997881,0.0002984697,0.000005646351,0.0003333511],"genre_scores_gemma":[0.9975626,0.0001001539,0.0007047795,0.000005370389,0.000001096985,0.00001514191,0.000736772,0.000008517834,0.0008656313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06847686,"threshold_uncertainty_score":0.1361566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05606495296291385,"score_gpt":0.3317508609697715,"score_spread":0.2756859080068577,"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."}}