{"id":"W4286209442","doi":"10.1111/rec.13764","title":"Trees planted under a global restoration pledge have mixed futures under climate change","year":2022,"lang":"en","type":"article","venue":"Restoration Ecology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; World Wildlife Fund","keywords":"Reforestation; Climate change; Environmental niche modelling; Agroforestry; Range (aeronautics); Niche; Pledge; Afforestation; Restoration ecology; Species distribution; Ecology; Forest restoration; Distribution (mathematics); Germplasm; Geography; Environmental science; Ecological niche; Habitat; Biology; Agronomy; Ecosystem; Forest ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006099159,0.0002291783,0.0001885481,0.0002760178,0.0005576828,0.001024912,0.0004120625,0.0002221489,0.002132213],"category_scores_gemma":[0.001456541,0.00009634493,0.0003463868,0.0004417803,0.0003136266,0.0008141925,0.0005928478,0.0003567352,0.0001727345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009584302,"about_ca_system_score_gemma":0.0006178804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01687192,"about_ca_topic_score_gemma":0.05084964,"domain_scores_codex":[0.9998363,0.00005566603,0.000007365298,0.00003735095,0.00002136823,0.0000418706],"domain_scores_gemma":[0.9995732,0.0001068663,0.0001224095,0.00005155685,0.00007100536,0.00007505357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001675645,0.000118916,0.7464961,0.00008621937,0.0001585407,0.0004127792,0.001027362,0.1939353,0.003240532,0.007160896,0.002009531,0.0451862],"study_design_scores_gemma":[0.00003877785,0.0002280555,0.562542,0.00009967123,0.0001640015,0.0003455082,0.003952641,0.4068293,0.00179952,0.007226846,0.01670175,0.00007203513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934236,0.0001003682,0.002837401,0.0001922948,0.00001028212,0.000007278053,0.000203621,0.000061889,0.003163282],"genre_scores_gemma":[0.9984174,0.00005477061,0.001084482,0.000009856279,0.000002848202,0.000007324244,0.0001213134,0.00001084,0.0002911403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01687192,"threshold_uncertainty_score":0.03354746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04538017557955552,"score_gpt":0.2791994934563688,"score_spread":0.2338193178768133,"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."}}