{"id":"W2551500002","doi":"10.5751/es-02481-130206","title":"Land-Use and Land Cover Dynamics in South American Temperate Grasslands","year":2008,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":296,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Secretaría de Ciencia y Técnica, Universidad de Buenos Aires; Comisión Nacional de Actividades Espaciales; Consejo Nacional de Investigaciones Científicas y Técnicas; Inter-American Institute for Global Change Research; National Science Foundation","keywords":"Land cover; Temperate climate; Land use; Geography; Agroforestry; Cover (algebra); Environmental resource management; Ecology; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001855997,0.0001105536,0.0001237087,0.0005354849,0.0001950029,0.0003500771,0.0001699171,0.000183376,0.0007652562],"category_scores_gemma":[0.000424337,0.00008744795,0.000147317,0.0008479801,0.0002767853,0.0002400166,0.0002626329,0.0001203098,0.00008445868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006907166,"about_ca_system_score_gemma":0.0002051643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05606532,"about_ca_topic_score_gemma":0.123099,"domain_scores_codex":[0.9999359,0.00001824286,0.000003535973,0.00001753087,0.000009202509,0.00001560916],"domain_scores_gemma":[0.9998065,0.00003841165,0.00007857858,0.00001065125,0.00002730494,0.00003870908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007146462,0.00003522891,0.9908956,0.00001794946,0.00003595438,0.0001414861,0.000546474,0.00140498,0.002498553,0.0001462765,0.0001634189,0.004042787],"study_design_scores_gemma":[0.000001785553,0.00000480033,0.9986548,0.000001424682,0.000002787024,0.00001905222,0.0001420914,0.0009765396,0.00003977856,0.0000272451,0.0001281232,0.000001392629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996613,0.00002223219,0.00003379168,0.00001280157,2.693234e-7,0.00000186481,0.0001031616,0.000001738638,0.0001629512],"genre_scores_gemma":[0.9995679,0.00003368768,0.00009969668,0.000007528554,8.47115e-7,0.000004943571,0.0001951101,0.000001011353,0.0000892043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05606532,"threshold_uncertainty_score":0.111478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006285045022046147,"score_gpt":0.1927443448216457,"score_spread":0.1864592997995995,"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."}}