{"id":"W2097067468","doi":"10.1038/ngeo1182","title":"Small temperature benefits provided by realistic afforestation efforts","year":2011,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Climate variability and models","field":"Environmental Science","cited_by":320,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University; University of Victoria; Environment and Climate Change Canada","funders":"National Center for Atmospheric Research","keywords":"Afforestation; Climate change; Environmental science; Deforestation (computer science); Temperate climate; Carbon sequestration; Greenhouse gas; Agroforestry; Tropics; Climate change mitigation; Ecology; Carbon dioxide","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":[0.0005685683,0.0005175523,0.0003175566,0.000147927,0.0003890232,0.0007948395,0.0003320251,0.0008964305,0.009931494],"category_scores_gemma":[0.00396859,0.0002125568,0.0004984967,0.0003392682,0.0004310698,0.001506456,0.0006005396,0.0006580358,0.0006256966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004106027,"about_ca_system_score_gemma":0.0004516816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00163838,"about_ca_topic_score_gemma":0.003147457,"domain_scores_codex":[0.9997306,0.00009923082,0.00001192879,0.00004631079,0.00003146019,0.00008046355],"domain_scores_gemma":[0.998847,0.0005901076,0.0001198509,0.0002032388,0.0001069292,0.0001328396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003912187,0.000351442,0.03975629,0.0004207808,0.0004419572,0.0008026566,0.0001955548,0.815144,0.02824775,0.0420743,0.007507524,0.06114553],"study_design_scores_gemma":[0.0009262995,0.001599362,0.2839972,0.0002008171,0.001429352,0.001023127,0.002365111,0.4729116,0.02911668,0.176757,0.02945753,0.0002160148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9417922,0.0007435598,0.01389051,0.002220697,0.000250541,0.00003057181,0.001442784,0.0002856243,0.03934349],"genre_scores_gemma":[0.9978496,0.000115258,0.0006276643,0.00008063555,0.00001494869,0.00000680383,0.0001202962,0.00002306318,0.001161733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009931494,"threshold_uncertainty_score":0.03322417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877765357838961,"score_gpt":0.2201579947589624,"score_spread":0.2013803411805727,"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."}}