{"id":"W2161366875","doi":"10.5194/bgd-5-1511-2008","title":"Incorporating changes in albedo in estimating the climate mitigation benefits of land use change projects","year":2008,"lang":"en","type":"article","venue":"","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Research Council (Canada)","funders":"","keywords":"Albedo (alchemy); Reforestation; Environmental science; Carbon sequestration; Climate change; Afforestation; Forcing (mathematics); Radiative forcing; Carbon sink; Atmospheric sciences; Climate model; Atmospheric carbon cycle; Climatology; Agroforestry; Carbon dioxide; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002346302,0.00006803339,0.00007780712,0.00006385168,0.00005531174,0.00001098923,0.00009774975,0.00002450221,0.0001140099],"category_scores_gemma":[0.00004085952,0.00004785276,0.00001005857,0.0003426875,0.00007638971,0.0002925312,0.0001360201,0.00005142413,0.00004602227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003007738,"about_ca_system_score_gemma":0.000002138592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01016328,"about_ca_topic_score_gemma":0.03457792,"domain_scores_codex":[0.9994132,0.00003206255,0.0001409392,0.0001163194,0.0001292032,0.0001683017],"domain_scores_gemma":[0.9997434,0.00004872972,0.00008624479,0.0001045556,0.000002291613,0.00001477244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003417789,0.00001937247,0.9899555,0.00001354927,6.736826e-7,0.000002157808,0.002475708,0.004471472,0.00006917703,0.0003057001,0.00008526706,0.002598047],"study_design_scores_gemma":[0.000200997,0.0000318079,0.925018,0.00005006482,0.000001599219,0.000001742413,0.00004256088,0.07420864,0.0002515686,0.00006652134,0.00005290827,0.00007366104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944383,0.00000796631,0.00000238174,0.0004983515,0.00002433523,0.000334198,0.000001790249,0.00001186055,0.004680811],"genre_scores_gemma":[0.997372,0.00002476998,0.002122739,0.0002288765,0.00003233292,0.00004361405,0.000006155061,0.000005691247,0.0001638052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06973717,"threshold_uncertainty_score":0.9964281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05624330256631307,"score_gpt":0.2516923745510724,"score_spread":0.1954490719847593,"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."}}