{"id":"W2117141344","doi":"10.5194/bg-9-5125-2012","title":"Carbon emissions from land use and land-cover change","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1343,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Aeronautics and Space Administration","keywords":"Deforestation (computer science); Environmental science; Greenhouse gas; Carbon flux; Land use, land-use change and forestry; Afforestation; Land cover; Peat; Carbon fibers; Flux (metallurgy); Land use; Atmospheric sciences; Geography; Agroforestry; Ecosystem; Ecology; Mathematics","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":[0.0003901595,0.0006045348,0.0002263931,0.0008444875,0.0001206084,0.0006259537,0.0001760298,0.0002218509,0.001727284],"category_scores_gemma":[0.0006666756,0.0001538743,0.0006668266,0.002154243,0.0001759877,0.0005850538,0.0003415971,0.0002548773,0.0003721196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051652,"about_ca_system_score_gemma":0.0004033965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01402592,"about_ca_topic_score_gemma":0.01526271,"domain_scores_codex":[0.9997446,0.00004438391,0.00001841568,0.00005108679,0.0001111471,0.00003024593],"domain_scores_gemma":[0.9997022,0.00007480413,0.00009644638,0.00001861202,0.00009153488,0.00001645261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003497486,0.00008471138,0.8011822,0.001269716,0.002916764,0.0003537591,0.0001538653,0.07120831,0.007565323,0.00397161,0.00707829,0.1038658],"study_design_scores_gemma":[0.00002842077,0.00009596329,0.9395916,0.0001980967,0.0005039297,0.0002565864,0.0001282279,0.02237058,0.003919088,0.002363478,0.03050837,0.00003560672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9160883,0.0111953,0.007148382,0.0007976,0.0002479997,0.0000908013,0.04137358,0.0001925746,0.02286538],"genre_scores_gemma":[0.9808717,0.003924298,0.001679314,0.0001617742,0.00006463681,0.00005821728,0.01035844,0.00002758229,0.00285399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01402592,"threshold_uncertainty_score":0.0278886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02362548515999514,"score_gpt":0.2150468780563671,"score_spread":0.191421392896372,"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."}}