{"id":"W2912794977","doi":"10.1016/j.geoderma.2019.01.045","title":"Multiple interactions between tree composition and diversity and microbial diversity underly litter decomposition","year":2019,"lang":"en","type":"article","venue":"Geoderma","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Litter; Plant litter; Ecosystem; Nutrient cycle; Ecology; Species richness; Species diversity; Environmental science; Biology","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":[0.0009773583,0.0004174853,0.0006150805,0.0005934071,0.0005363124,0.00129036,0.0005220827,0.0007891306,0.002882736],"category_scores_gemma":[0.00243011,0.0004374103,0.000660773,0.0004338512,0.0008653364,0.00097599,0.001001879,0.0004553444,0.0002357541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003918882,"about_ca_system_score_gemma":0.0004921117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002569131,"about_ca_topic_score_gemma":0.0104985,"domain_scores_codex":[0.9991617,0.0003705753,0.00005014258,0.0001777675,0.00008918947,0.0001505609],"domain_scores_gemma":[0.9959369,0.002743816,0.0004728195,0.0002284355,0.0001802356,0.00043785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001036098,0.0001792299,0.858216,0.0001350242,0.0009263942,0.0005061318,0.000626219,0.00154339,0.1281235,0.000511815,0.000143445,0.008052802],"study_design_scores_gemma":[0.000009933283,0.0001299673,0.9924238,0.000006858911,0.0001345669,0.0001857902,0.0003554066,0.003679891,0.002393089,0.0004513506,0.0002156777,0.00001371048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983786,0.0003423987,0.0008011183,0.00003610818,0.000005466571,0.00000462488,0.00005994348,0.0000115357,0.0003601383],"genre_scores_gemma":[0.9994648,0.00003901401,0.0002013194,0.00001810524,0.000004560023,0.0000022105,0.00002809937,0.0000067346,0.0002351955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002882736,"threshold_uncertainty_score":0.009643734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972519485250826,"score_gpt":0.2161851217801742,"score_spread":0.1964599269276659,"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."}}