{"id":"W4224529725","doi":"10.1088/1748-9326/ac69fd","title":"Contrasting climate and carbon-cycle consequences of fossil-fuel use versus deforestation disturbance","year":2022,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Ocean Sciences; Zhejiang University; University of Victoria; Indian Institute of Science","keywords":"Deforestation (computer science); Environmental science; Fossil fuel; Disturbance (geology); Carbon cycle; Climate change; Greenhouse gas; Atmospheric sciences; Carbon dioxide in Earth's atmosphere; Climatology; Vegetation (pathology); Carbon dioxide; Ecology; Geology; Ecosystem; Oceanography","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":[0.0005010675,0.0004129524,0.0004597976,0.0002941363,0.0003015352,0.0007296521,0.000495681,0.0007778654,0.001177507],"category_scores_gemma":[0.001928008,0.000213819,0.0008707822,0.0003585604,0.0006357391,0.0005373425,0.0003935506,0.000702851,0.00008154172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006201388,"about_ca_system_score_gemma":0.0003357535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01373694,"about_ca_topic_score_gemma":0.009440262,"domain_scores_codex":[0.9998282,0.00007102505,0.00001181781,0.00003193918,0.00001230401,0.00004467799],"domain_scores_gemma":[0.9994822,0.0002596079,0.00006384684,0.00006225202,0.00004799007,0.00008406887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003427865,0.0002362703,0.03982015,0.00004432847,0.0002103705,0.0002291579,0.00004717099,0.9496734,0.006451815,0.001227949,0.0004100261,0.001306559],"study_design_scores_gemma":[0.000167389,0.0003402298,0.05317943,0.00001249155,0.0001064301,0.0000713068,0.0001683229,0.9406648,0.003421858,0.001283262,0.0005424034,0.00004202999],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982513,0.00003577099,0.0004609004,0.00006445518,0.00001348792,0.000006202726,0.0002514519,0.00002387213,0.0008925743],"genre_scores_gemma":[0.9993125,0.00002666278,0.0002337414,0.00001958566,0.000002832644,0.000007441795,0.0002401399,0.000008896136,0.0001482011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01373694,"threshold_uncertainty_score":0.02731395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02304394644353315,"score_gpt":0.2606890359539656,"score_spread":0.2376450895104325,"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."}}