{"id":"W4411539938","doi":"10.1002/pan3.70084","title":"Local people in both frontier and intensifying landscapes in Ecuador desire forest restoration that provides multiple benefits","year":2025,"lang":"en","type":"article","venue":"People and Nature","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; University of British Columbia Graduate School; Killam Trusts; World Wildlife Fund","keywords":"Frontier; Reforestation; Ecosystem services; Biodiversity; Geography; Provisioning; Environmental resource management; Cultural landscape; Forest restoration; Scale (ratio); Restoration ecology; Local community; Ecosystem; Forest ecology; Ecology; Forestry; Cartography; Environmental science","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":[0.0004298302,0.0001617699,0.0001756203,0.0003389772,0.0009834198,0.000635428,0.0002257876,0.0002315095,0.003529982],"category_scores_gemma":[0.0007070633,0.0001223782,0.00009883423,0.0003492931,0.0004205496,0.0004590024,0.0004985642,0.0002886037,0.0001506152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002785871,"about_ca_system_score_gemma":0.0001411561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01155949,"about_ca_topic_score_gemma":0.02602175,"domain_scores_codex":[0.9998873,0.00003737588,0.000007902741,0.0000158712,0.000011766,0.00003971591],"domain_scores_gemma":[0.9996772,0.00006599306,0.0001002188,0.00001735817,0.00003619658,0.0001030839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001279055,0.0002473616,0.8841131,0.0001655829,0.00003440473,0.0013886,0.08417588,0.00009597404,0.003246031,0.000324302,0.001270232,0.02481059],"study_design_scores_gemma":[0.00001570944,0.0001663041,0.7688694,0.00007757868,0.00003283629,0.0004482532,0.2263465,0.0002395438,0.0002263089,0.0001383079,0.003419456,0.00001987554],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994967,0.0000430813,0.00002105679,0.0000475701,0.000001265645,0.000002691534,0.00001061224,7.75993e-7,0.0003761906],"genre_scores_gemma":[0.9994664,0.00006552672,0.00007418751,0.00004800378,0.000001964014,0.000009914249,0.00001504078,4.953632e-7,0.0003186187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01155949,"threshold_uncertainty_score":0.02298439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006378474776678429,"score_gpt":0.2052672982719327,"score_spread":0.1988888234952543,"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."}}