{"id":"W2344027841","doi":"10.1111/gcb.13299","title":"Land‐use change outweighs projected effects of changing rainfall on tree cover in sub‐Saharan Africa","year":2016,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Yale University","keywords":"Climate change; Ecoregion; Biome; Agroforestry; Land cover; Biodiversity; Environmental science; Land use; Edaphic; Land use, land-use change and forestry; Geography; Global change; Vegetation (pathology); Ecosystem services; Ecosystem; Ecology","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":[0.0005854554,0.0005105457,0.0003756568,0.0003556013,0.0002873131,0.00113188,0.0004321076,0.0004829576,0.001489356],"category_scores_gemma":[0.0009005669,0.0003352085,0.0005117747,0.0008212173,0.0003042285,0.0007196149,0.0004108599,0.0002942499,0.00009805919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132315,"about_ca_system_score_gemma":0.0008792304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03080839,"about_ca_topic_score_gemma":0.02089701,"domain_scores_codex":[0.9998046,0.00007201795,0.00001128498,0.00003556979,0.00001599339,0.00006052894],"domain_scores_gemma":[0.9997383,0.0001254216,0.00005334179,0.00001508389,0.00003134188,0.00003649572],"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":[0.0003533965,0.000110443,0.34883,0.000310038,0.0006706516,0.001122948,0.0006771096,0.6104289,0.009704468,0.005021979,0.001145734,0.02162439],"study_design_scores_gemma":[0.0001688068,0.0004461218,0.4570972,0.0001667373,0.0005158567,0.0004040386,0.00177105,0.5233713,0.004285435,0.003433764,0.008264853,0.00007477411],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974633,0.0003177646,0.0004997652,0.0001552503,0.00001002498,0.000006838424,0.0003217677,0.00001667209,0.001208519],"genre_scores_gemma":[0.9992711,0.0002466581,0.0002034011,0.00002412077,0.000002909202,0.000008025214,0.0001191229,0.000004851475,0.0001199095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03080839,"threshold_uncertainty_score":0.06125814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03073049525080991,"score_gpt":0.2523328337149249,"score_spread":0.221602338464115,"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."}}