{"id":"W2027438027","doi":"10.1139/x01-054","title":"Do soil fauna increase rates of litter breakdown and nitrogen release in forests of British Columbia, Canada?","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microcosm; Soil mesofauna; Litter; Forest floor; Environmental science; Nutrient; Plant litter; Cycling; Ecology; Nitrogen; Fauna; Soil biology; Invertebrate; Nutrient cycle; Taiga; Ecosystem; Biology; Soil water; Forestry; Chemistry; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002159183,0.000255264,0.0002278614,0.0007251229,0.001287927,0.0007774008,0.0004132025,0.000386677,0.002172804],"category_scores_gemma":[0.0009513656,0.0002653398,0.0001329232,0.0008870271,0.0005122367,0.000291477,0.0003182568,0.0003185263,0.0002310031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008493278,"about_ca_system_score_gemma":0.006230402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9832674,"about_ca_topic_score_gemma":0.9959503,"domain_scores_codex":[0.9997593,0.00001794142,0.000007952699,0.00005032169,0.00005403906,0.0001104494],"domain_scores_gemma":[0.9991873,0.00005785058,0.0001638469,0.00002419887,0.0002709333,0.0002957254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002080067,0.00006382915,0.9820849,0.00004422897,0.00005517514,0.0001644714,0.0006023484,0.00009743027,0.003504165,0.00005527563,0.0008757217,0.01224444],"study_design_scores_gemma":[0.000002720453,0.000007910792,0.999193,0.000004758901,0.000006148025,0.00001967484,0.0003393025,0.00005499658,0.00006281382,0.00001000365,0.0002962708,0.000002392746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973857,0.000628353,0.00004542288,0.0001705708,0.000005375831,0.00000966848,0.0005606643,0.000007175062,0.001187074],"genre_scores_gemma":[0.9975641,0.0004282357,0.0001065703,0.0001205801,0.000002287406,0.00000550408,0.0003367332,0.000002821679,0.001433203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01673263,"threshold_uncertainty_score":0.06162333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02649555606571032,"score_gpt":0.2385445818658923,"score_spread":0.212049025800182,"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."}}