{"id":"W2085356727","doi":"10.1111/avsc.12161","title":"Ecological disturbance regimes caused by agricultural land uses and their effects on tropical forest regeneration","year":2015,"lang":"en","type":"article","venue":"Applied Vegetation Science","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consejo Nacional de Ciencia y Tecnología; McGill University","keywords":"Disturbance (geology); Species richness; Ecology; Regeneration (biology); Biomass (ecology); Biodiversity; Agricultural land; Secondary forest; Environmental science; Microclimate; Land use; Agroforestry; Geography; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003468959,0.0001507078,0.00009958349,0.0002887958,0.0001833,0.0003164309,0.00009169174,0.00008470669,0.0007355603],"category_scores_gemma":[0.000863403,0.00006759998,0.0001562852,0.0001994724,0.0002584299,0.0001157658,0.0002313419,0.000136938,0.0000538421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003455133,"about_ca_system_score_gemma":0.0001341227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006790848,"about_ca_topic_score_gemma":0.01576483,"domain_scores_codex":[0.9998907,0.00003758543,0.000008882763,0.00002185344,0.0000159916,0.00002493933],"domain_scores_gemma":[0.998902,0.0003321895,0.0004734893,0.00004133363,0.00008199145,0.0001689803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001290471,0.00003566862,0.9934303,0.00001355808,0.00003997364,0.00006234943,0.00006427305,0.000435575,0.002402024,0.00001757587,0.00003808234,0.003331549],"study_design_scores_gemma":[6.435999e-7,0.00002286861,0.9996061,0.000001107726,0.000003124112,0.00001996645,0.00003496987,0.0002109285,0.0000666999,0.000004964155,0.00002824435,5.626795e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997503,0.00004190606,0.00003500428,0.00000425065,4.811151e-7,0.000001510931,0.00004693154,0.000001162817,0.0001184825],"genre_scores_gemma":[0.9997944,0.00002972915,0.00004420461,0.000002167528,0.000001315673,0.00000206044,0.0000587138,4.634569e-7,0.0000669172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006790848,"threshold_uncertainty_score":0.01350266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404364668848517,"score_gpt":0.2001298518703912,"score_spread":0.1860862051819061,"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."}}