{"id":"W4390244726","doi":"10.1002/ecs2.4721","title":"Oil sands restoration with warm‐adapted trees improves outcomes under moderate but not severe warming scenarios","year":2023,"lang":"en","type":"article","venue":"Ecosphere","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas; Natural Resources Canada; Canadian Forest Service","funders":"Office of Energy Research and Development","keywords":"Climate change; Forest restoration; Environmental science; Taiga; Global warming; Boreal; Ecosystem; Restoration ecology; Fire regime; Disturbance (geology); Biomass (ecology); Ecology; Agroforestry; Forest ecology; Geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005515238,0.0006552875,0.0005506465,0.0002945836,0.0007521237,0.0007979822,0.0009570786,0.0005925061,0.001977878],"category_scores_gemma":[0.001202113,0.0001763832,0.0005965897,0.0003062463,0.0005501098,0.0005569793,0.0005418001,0.0004999321,0.0001280767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00334858,"about_ca_system_score_gemma":0.002316828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2996719,"about_ca_topic_score_gemma":0.4652734,"domain_scores_codex":[0.9997858,0.0000399187,0.000006120318,0.00004088453,0.00002445006,0.0001028213],"domain_scores_gemma":[0.9995719,0.00009672458,0.0000505538,0.00005726191,0.00008690594,0.0001367587],"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":[0.0002928452,0.0001082888,0.0185251,0.00004843191,0.00009706424,0.00008638788,0.00004683195,0.9717504,0.004188803,0.0004836749,0.0004690886,0.003903039],"study_design_scores_gemma":[0.0001237054,0.000550784,0.06032129,0.00003030826,0.0002154255,0.00004016019,0.000551954,0.9311081,0.00376518,0.001606453,0.001609975,0.00007673165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956509,0.00007889145,0.001502161,0.0001106051,0.00001396388,0.00002071149,0.0003133009,0.0001145203,0.002194806],"genre_scores_gemma":[0.99914,0.0000204758,0.0005204406,0.00001470065,8.827591e-7,0.000004998582,0.0001255484,0.000009117069,0.0001637268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2996719,"threshold_uncertainty_score":0.5958552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153442327512908,"score_gpt":0.215828156852493,"score_spread":0.2042937335773639,"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."}}