{"id":"W2047618390","doi":"10.1038/nature13247","title":"Consequences of biodiversity loss for litter decomposition across biomes","year":2014,"lang":"en","type":"article","venue":"Nature","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":820,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"European Social Fund; European Science Foundation; Centre Méditerranéen de l’Environnement et de la Biodiversité","keywords":"Biodiversity; Ecosystem; Environmental science; Detritivore; Plant litter; Ecology; Primary production; Terrestrial ecosystem; Litter; Decomposer; Nutrient cycle; Carbon cycle; Biome; 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":[0.001189181,0.0002594861,0.0004589571,0.0009136017,0.0007832496,0.001184472,0.0004242627,0.0007343171,0.003634417],"category_scores_gemma":[0.002994577,0.0002026288,0.0006681905,0.0007810922,0.001050671,0.001284773,0.001544703,0.0005326191,0.000242747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007282756,"about_ca_system_score_gemma":0.0004466786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00818892,"about_ca_topic_score_gemma":0.01325484,"domain_scores_codex":[0.9993812,0.0001579187,0.00006041192,0.0001713143,0.00005383293,0.000175288],"domain_scores_gemma":[0.9980649,0.0002924927,0.0006700502,0.0002596883,0.0002888787,0.000423872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001315458,0.00013007,0.9606577,0.00007614022,0.0008085306,0.0002765661,0.0003134526,0.001977285,0.02313905,0.0004680967,0.0003569157,0.01048073],"study_design_scores_gemma":[0.000005056839,0.00006203346,0.9985343,0.000003561043,0.00003144224,0.0000734217,0.0003063155,0.0004442056,0.0001755495,0.0002429556,0.0001183351,0.00000291617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990321,0.0001586525,0.0001233789,0.0001493353,0.000004899147,0.000001929782,0.0001385554,0.000004628292,0.0003865204],"genre_scores_gemma":[0.999626,0.00003938887,0.00006368884,0.00005787117,0.000004230573,0.000002498379,0.00008640338,0.000001943555,0.0001178524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00818892,"threshold_uncertainty_score":0.01628256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007580303591794148,"score_gpt":0.2439442188828313,"score_spread":0.2363639152910372,"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."}}