{"id":"W2540748817","doi":"10.1016/j.landusepol.2016.10.006","title":"Understanding the long-term dynamics of forest transition: From deforestation to afforestation in a Mediterranean landscape (Catalonia, 1868–2005)","year":2016,"lang":"en","type":"article","venue":"Land Use Policy","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":119,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Woodland; Deforestation (computer science); Geography; Virtuous circle and vicious circle; Afforestation; Agroforestry; Forest restoration; Mediterranean climate; Forest dynamics; Disturbance (geology); Agriculture; Forest management; Forestry; Ecology; Forest ecology; Ecosystem; Environmental science; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001223791,0.00008573625,0.00008349711,0.0001043432,0.00009421077,0.00003139494,0.000141994,0.00003720282,0.0001258048],"category_scores_gemma":[0.00002532395,0.00005206383,0.00003114456,0.0002233133,0.00008015104,0.0001812982,0.00006345854,0.00003237807,0.00003191112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002904022,"about_ca_system_score_gemma":0.00001173421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007276184,"about_ca_topic_score_gemma":0.2449313,"domain_scores_codex":[0.9992876,0.00003947718,0.0001409261,0.0001580099,0.0001960846,0.0001778927],"domain_scores_gemma":[0.9996234,0.00008801263,0.00006120184,0.0001616087,0.000005498484,0.00006024732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004563137,0.00003030822,0.9935783,0.000007102548,0.000007222652,0.000004061213,0.003071972,0.001507594,0.00003825476,0.0001330206,0.00009741461,0.00147909],"study_design_scores_gemma":[0.000653289,0.00002686124,0.994864,0.00004228876,0.00001436493,9.475675e-7,0.0002709446,0.0030813,0.00001084984,0.0008502696,0.0001029501,0.00008197309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9493693,0.000003403433,0.0424648,0.007604529,0.00004002135,0.000232804,0.0001221962,0.0000137608,0.0001491767],"genre_scores_gemma":[0.9992484,0.00002407843,0.0001329508,0.0002572826,0.00004676687,0.000006621202,0.0001322407,0.000006066434,0.0001455492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2376551,"threshold_uncertainty_score":0.9993345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04308344192572033,"score_gpt":0.2389956449650733,"score_spread":0.195912203039353,"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."}}