{"id":"W3090527446","doi":"","title":"Plant diversity loss reduces soil respiration across terrestrial ecosystems","year":2018,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Ecosystem; Species richness; Biomass (ecology); Terrestrial ecosystem; Carbon cycle; Plant litter; Biodiversity; Litter; Environmental science; Ecology; Monoculture; Soil respiration; Soil carbon; Terrestrial plant; Cycling; Arid; Agronomy; Biology; Soil water; Geography; Forestry","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":[0.005508658,0.0006869789,0.0009430957,0.002076422,0.0004321803,0.001354064,0.0005967621,0.0005582,0.0009949688],"category_scores_gemma":[0.007554838,0.0004231026,0.003247709,0.00171978,0.000701874,0.0007174416,0.001187415,0.0005061892,0.0001170646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003399648,"about_ca_system_score_gemma":0.0003718806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002728345,"about_ca_topic_score_gemma":0.004115853,"domain_scores_codex":[0.9969431,0.001405969,0.0003398178,0.0009055004,0.0002776179,0.0001281062],"domain_scores_gemma":[0.9936413,0.00301788,0.001898956,0.000847983,0.0003183192,0.0002755793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001210051,0.00005338185,0.83548,0.003685036,0.09608947,0.0003198128,0.0003345242,0.002344458,0.007386019,0.0003283258,0.0006014219,0.05216731],"study_design_scores_gemma":[0.00004825793,0.000411321,0.9605553,0.0004626446,0.03078385,0.0005063032,0.0002654678,0.002001165,0.001392448,0.001042096,0.002497278,0.0000338402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8137777,0.1787732,0.003950539,0.0007858114,0.000121186,0.000024957,0.001129711,0.0001053323,0.001331686],"genre_scores_gemma":[0.9937744,0.005110368,0.0005980445,0.0001275452,0.00003298161,0.00000716809,0.0002667034,0.00001034101,0.00007252373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005508658,"threshold_uncertainty_score":0.02913296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03391044680380349,"score_gpt":0.246065095960455,"score_spread":0.2121546491566515,"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."}}