{"id":"W2511405954","doi":"10.1111/aec.12420","title":"Edge influence on plant litter biomass in forest and savanna in the Brazilian <i>cerrado</i>","year":2016,"lang":"en","type":"article","venue":"Austral Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Transect; Litter; Plant litter; Biomass (ecology); Ecology; Ecosystem; Trophic level; Plant community; Environmental science; Biology; Species richness","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":[0.000255506,0.000178891,0.0002486242,0.0006982437,0.0004131387,0.0003657828,0.0001926435,0.0001673721,0.0009231753],"category_scores_gemma":[0.0007955666,0.0001757905,0.0001543737,0.0006317255,0.0003911824,0.0001674087,0.0005151066,0.0001204115,0.00008759801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004305002,"about_ca_system_score_gemma":0.0002817871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04365945,"about_ca_topic_score_gemma":0.173587,"domain_scores_codex":[0.9998468,0.00003033957,0.000009263005,0.00004360244,0.00002841015,0.00004154737],"domain_scores_gemma":[0.9994805,0.0001007198,0.0002268224,0.00003694274,0.00008556431,0.0000693627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001077053,0.00002782662,0.9738742,0.00009311178,0.00005106237,0.0001762415,0.002129498,0.0001470723,0.009082462,0.0002080483,0.0001612906,0.01394154],"study_design_scores_gemma":[0.000001205888,0.00001508326,0.9988154,0.00000905092,0.000007887723,0.00004674349,0.0004014853,0.00008322857,0.0001394762,0.00002193443,0.0004566693,0.000001803524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987102,0.0001315644,0.00005404726,0.00002018056,0.00000122603,0.000003346805,0.0001260898,0.000004555363,0.000948864],"genre_scores_gemma":[0.9996345,0.00005175866,0.0001125788,0.000007640878,0.00000112337,0.000002527444,0.00009938321,0.000002462513,0.00008800876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04365945,"threshold_uncertainty_score":0.08681065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009869546797459248,"score_gpt":0.2334013593148608,"score_spread":0.2235318125174015,"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."}}