{"id":"W1995191903","doi":"10.3354/cr017229","title":"Central African forests, carbon and climate change","year":2001,"lang":"en","type":"article","venue":"Climate Research","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Joint Research Centre; Goddard Space Flight Center; International Tropical Timber Organization; University of Oxford; World Bank Group; United States Agency for International Development; European Commission; McMaster University; Centre de Coopération Internationale en Recherche Agronomique pour le Développement; Yale University; National Aeronautics and Space Administration","keywords":"Climate change; Geography; Deforestation (computer science); Global warming; Rainforest; Carbon stock; Wildlife; Greenhouse gas; Logging; Amazon rainforest; Tropical rainforest; Forestry; Agroforestry; Ecology; Environmental science","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":[0.0007653979,0.000093766,0.00009402954,0.00009002402,0.0004688761,0.00007585343,0.000220565,0.00004704015,0.0005663884],"category_scores_gemma":[0.00002266783,0.00008282442,0.00002668083,0.0004003212,0.0003608731,0.00009559703,0.001107438,0.0001469905,0.0001734957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001573742,"about_ca_system_score_gemma":0.00000355832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001750033,"about_ca_topic_score_gemma":0.001857862,"domain_scores_codex":[0.9981022,0.0001059254,0.0001072334,0.0003148018,0.0004963372,0.0008735349],"domain_scores_gemma":[0.9994992,0.00004907968,0.00002494501,0.0002254849,0.00001392141,0.0001873949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003613494,0.00004589038,0.9878955,0.00002635009,0.000003751566,0.00003940583,0.000830096,0.000005162745,0.00008885789,0.00005336783,0.0002319245,0.01074351],"study_design_scores_gemma":[0.0002176437,0.00006316974,0.9469118,0.00001251233,0.000005811103,0.000004290355,0.001012303,0.001619255,0.00001654768,0.00007634631,0.04996148,0.00009887941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9335539,0.0001186844,0.000001031561,0.002041986,0.000045719,0.0003410211,0.00000925916,0.00003587481,0.0638525],"genre_scores_gemma":[0.995716,0.0036703,0.00003261201,0.00009096372,0.00007154333,0.00002259346,0.000008078579,0.000008709198,0.0003791934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06347331,"threshold_uncertainty_score":0.6201556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09136912176754595,"score_gpt":0.3038150492532892,"score_spread":0.2124459274857433,"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."}}