{"id":"W4394989482","doi":"10.1098/rstb.2022.0326","title":"Using the Red List of Ecosystems and the Nature-based Solutions Global Standard as an integrated process for climate change adaptation in the Andean high mountains","year":2024,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Environmental and Cultural Studies in Latin America and Beyond","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"National Academy of Sciences; Global Environment Facility","keywords":"Psychological resilience; Environmental resource management; Resilience (materials science); Context (archaeology); Climate change; Ecosystem; Adaptation (eye); Ecological systems theory; Ecosystem services; Process (computing); Psychological intervention; Ecology; Environmental planning; Geography; Environmental science; Computer science; Psychology","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":[0.008762904,0.0007897433,0.0003633725,0.002357536,0.004248281,0.00811728,0.001078024,0.002504417,0.003124804],"category_scores_gemma":[0.01062052,0.0002508785,0.0004170933,0.002481692,0.00548853,0.004381771,0.005382413,0.003741443,0.0003496517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007983106,"about_ca_system_score_gemma":0.01584274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04694011,"about_ca_topic_score_gemma":0.0895603,"domain_scores_codex":[0.991677,0.004377376,0.0006649285,0.0005017878,0.002006241,0.0007725143],"domain_scores_gemma":[0.9934753,0.002304691,0.001030585,0.000737829,0.001860532,0.0005910854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006331125,0.0001061467,0.01200288,0.001439249,0.00005078346,0.001218614,0.02900031,0.00288828,0.001931748,0.6278018,0.08364674,0.2398501],"study_design_scores_gemma":[0.00002839548,0.00009415436,0.01464895,0.001539384,0.00004124085,0.0004461137,0.01453593,0.001303257,0.001636605,0.0489237,0.9166716,0.0001305868],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08439566,0.025374,0.1022645,0.1794313,0.004562507,0.001459934,0.00181368,0.001174336,0.5995241],"genre_scores_gemma":[0.6637903,0.01117216,0.244259,0.01823808,0.0004370216,0.002049038,0.001597141,0.0003977875,0.05805942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04694011,"threshold_uncertainty_score":0.09333378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07182171185996122,"score_gpt":0.318776176762985,"score_spread":0.2469544649030238,"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."}}