{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002423825,0.0003162008,0.0002000362,0.001375934,0.00114863,0.002345892,0.0001795675,0.0005182143,0.007112857],"category_scores_gemma":[0.0008221536,0.00007135802,0.00007876634,0.003747642,0.0009740471,0.001147537,0.0006582576,0.0004995215,0.0002446288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002103071,"about_ca_system_score_gemma":0.001639198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0532626,"about_ca_topic_score_gemma":0.1371455,"domain_scores_codex":[0.9999006,0.00002870339,0.000003188809,0.00001023948,0.00002139441,0.00003587318],"domain_scores_gemma":[0.9997891,0.00007720377,0.00004878096,0.000009710633,0.00004403048,0.00003130383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001105355,0.0000541415,0.0279788,0.001607517,0.00007943188,0.001367959,0.004292854,0.004893703,0.001172911,0.4293016,0.08961336,0.4395272],"study_design_scores_gemma":[0.000008277212,0.00002869289,0.07552905,0.001188044,0.00003531245,0.0007831242,0.004458256,0.001270189,0.0003030826,0.09457462,0.8217975,0.00002371526],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0763235,0.6547356,0.001161486,0.03599761,0.001545544,0.00005494126,0.0009414098,0.00005616279,0.2291837],"genre_scores_gemma":[0.7136117,0.2563474,0.001052934,0.001400675,0.0007615937,0.00003884922,0.0002608998,0.00001549901,0.02651051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0532626,"threshold_uncertainty_score":0.1059051,"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."}}