{"id":"W2167287371","doi":"10.1016/j.soilbio.2015.04.002","title":"Moss and lichen decomposition in old-growth and harvested high-boreal forests estimated using the litterbag and minicontainer methods","year":2015,"lang":"en","type":"article","venue":"Soil Biology and Biochemistry","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Christiane Nüsslein-Volhard-Stiftung; Institute for Biodiversity, Ecosystem Science, and Sustainability; Government of Canada","keywords":"Moss; Lichen; Taiga; Boreal; Decomposition; Environmental science; Forestry; Ecology; Botany; Geography; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003267858,0.0001207838,0.0001576287,0.00001509012,0.00008729113,0.00002459216,0.00005655385,0.00020053,0.000004154766],"category_scores_gemma":[0.00006512751,0.00008041446,0.000008673701,0.00006046204,0.0005263312,0.00005332576,0.000183612,0.0001066756,2.577394e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001931088,"about_ca_system_score_gemma":0.000009137178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001294256,"about_ca_topic_score_gemma":0.0005029137,"domain_scores_codex":[0.9992864,0.00008082687,0.0001306388,0.0002868754,0.00002706346,0.0001882673],"domain_scores_gemma":[0.9996561,0.0001012863,0.00004867004,0.00008498937,0.000007164175,0.0001017791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005464035,0.00001604343,0.9093328,0.00001149889,0.000009786668,0.0000050272,0.0001387516,0.000002635747,0.0883297,0.00002421551,0.00005416385,0.002020728],"study_design_scores_gemma":[0.0009760483,0.00009684581,0.9707991,0.00001471436,0.00002290837,0.0001606984,0.00009255506,0.002470609,0.02254135,0.002669053,0.00001502596,0.0001411107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985774,0.0004834928,0.00008701211,0.0006026677,0.00002459139,0.00006670882,0.00001145118,0.000009762129,0.0001368751],"genre_scores_gemma":[0.9976031,0.0001011023,0.001943094,0.0002371638,0.00002659098,0.000006951154,0.00004617739,0.000004380541,0.00003140888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06578836,"threshold_uncertainty_score":0.3279206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007428934243724,"score_gpt":0.3242028390999153,"score_spread":0.3041285497574781,"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."}}