{"id":"W4402476692","doi":"10.1038/s43247-024-01678-z","title":"Mapping forest-based natural climate solutions","year":2024,"lang":"en","type":"article","venue":"Communications Earth & Environment","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Assembly of First Nations","funders":"","keywords":"Natural (archaeology); Natural forest; Environmental science; Climate change; Remote sensing; Geography; Agroforestry; Geology; Oceanography; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004849729,0.0002353107,0.0001437939,0.001469115,0.0003075093,0.001050258,0.0002945721,0.000364322,0.001929242],"category_scores_gemma":[0.001570485,0.0001131722,0.0004085857,0.002303348,0.0002447118,0.001061126,0.0005638322,0.0002327239,0.0002141671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115201,"about_ca_system_score_gemma":0.001012941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05538946,"about_ca_topic_score_gemma":0.09477705,"domain_scores_codex":[0.9997352,0.0000804313,0.00001212335,0.00006674282,0.00005366051,0.00005188788],"domain_scores_gemma":[0.999642,0.0001150907,0.0000773547,0.00004123562,0.00009019822,0.00003405342],"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":[0.0001455745,0.0001500541,0.3809567,0.000317753,0.0002170689,0.0002825166,0.001273992,0.4853949,0.003902609,0.03091327,0.004850422,0.09159516],"study_design_scores_gemma":[0.000041122,0.00007525553,0.2030729,0.0001229667,0.00008834484,0.0001365829,0.004731087,0.7402328,0.001733738,0.02615995,0.02354781,0.0000575308],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485827,0.000493032,0.02449611,0.0004218701,0.00001315773,0.00006836085,0.005583078,0.0002722109,0.02006946],"genre_scores_gemma":[0.9822569,0.0002090184,0.01543092,0.00001434381,0.000002975062,0.0000276125,0.001600881,0.00001780228,0.0004395866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05538946,"threshold_uncertainty_score":0.1101341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02693193754805403,"score_gpt":0.247599317355966,"score_spread":0.2206673798079119,"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."}}