{"id":"W2422558073","doi":"10.1038/ncomms11877","title":"Compositional diversity of rehabilitated tropical lands supports multiple ecosystem services and buffers uncertainties","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Deutsche Forschungsgemeinschaft; Universidad Técnica Particular de Loja","keywords":"Ecosystem services; Ecosystem; Disturbance (geology); Biodiversity; Afforestation; Environmental resource management; Land use; Diversity (politics); Ecological succession; Environmental science; Ecology; Agroforestry; 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":[0.0006234905,0.0004386524,0.0003779887,0.0004594248,0.0004611896,0.001398977,0.0004695401,0.0002755937,0.00280844],"category_scores_gemma":[0.002795863,0.0001201683,0.0002970981,0.0003985912,0.000645876,0.001283283,0.001801777,0.0003375524,0.00008578663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007422157,"about_ca_system_score_gemma":0.0006991283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001867619,"about_ca_topic_score_gemma":0.005988894,"domain_scores_codex":[0.9995641,0.0001519222,0.00002299464,0.00007478039,0.00007349553,0.0001126412],"domain_scores_gemma":[0.9984256,0.0006022666,0.0004973608,0.0001582441,0.0001244653,0.0001919929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0009082172,0.0004706981,0.2797333,0.0006734792,0.0005462007,0.001172796,0.0009929098,0.4286183,0.09435294,0.0481997,0.0006576146,0.1436739],"study_design_scores_gemma":[0.00006285943,0.001109769,0.5125484,0.0002708308,0.0004489956,0.000770681,0.004218567,0.3871629,0.02339677,0.06337903,0.00648285,0.0001483473],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863815,0.0001660234,0.00988493,0.0001232012,0.000004978026,0.000009744169,0.00004873772,0.0000245146,0.003356445],"genre_scores_gemma":[0.9987065,0.00001987357,0.001163325,0.000007946203,0.0000018392,0.000003117648,0.000009859133,0.000002774194,0.00008484993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00280844,"threshold_uncertainty_score":0.009395182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008400851175829338,"score_gpt":0.2224010636933423,"score_spread":0.2140002125175129,"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."}}