{"id":"W4389485490","doi":"10.1029/2023jg007605","title":"Limited Mitigation Potential of Forestation Under a High Emissions Scenario: Results From Multi‐Model and Single Model Ensembles","year":2023,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"","keywords":"Afforestation; Environmental science; Carbon sink; Climate change; Greenhouse gas; Coupled model intercomparison project; Climate model; Carbon sequestration; Atmospheric carbon cycle; Atmospheric sciences; Vegetation (pathology); Global warming; Climatology; Carbon dioxide; Agroforestry; Ecology","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":[0.001824693,0.001573129,0.001648678,0.0006804419,0.0008181433,0.001141204,0.001166308,0.001984089,0.001345718],"category_scores_gemma":[0.001915574,0.0005408724,0.00258361,0.0006374464,0.0008417103,0.001367899,0.0008223519,0.001442291,0.0001698253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009942055,"about_ca_system_score_gemma":0.001028826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03297434,"about_ca_topic_score_gemma":0.01835406,"domain_scores_codex":[0.9995634,0.0001888115,0.00002701052,0.00009153038,0.00003594884,0.00009315878],"domain_scores_gemma":[0.9986213,0.0008305383,0.0001033908,0.0001591187,0.0001529006,0.0001327493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001864724,0.0001134467,0.00732348,0.00003985147,0.0003459036,0.000066171,0.0000186797,0.9887587,0.001085259,0.000197018,0.0005336577,0.001331449],"study_design_scores_gemma":[0.0001476463,0.0001599678,0.007108804,0.00001023437,0.0001876933,0.00001740979,0.00005671271,0.9902493,0.001268984,0.0004603143,0.0002835647,0.00004933963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944755,0.0002085006,0.001429472,0.0002704884,0.00004373991,0.000020621,0.001523721,0.0002094878,0.001818426],"genre_scores_gemma":[0.9978682,0.0000447926,0.0007506319,0.00005182231,0.00001556176,0.00002474444,0.0009785674,0.00003205686,0.0002335497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03297434,"threshold_uncertainty_score":0.06556481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04673407359870715,"score_gpt":0.3006960436805743,"score_spread":0.2539619700818672,"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."}}