{"id":"W4413804796","doi":"10.1111/conl.13138","title":"Using Scenarios for Reducing Uncertainties in Biodiversity Conservation: From Global Targets to European Steppes","year":2025,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; European Regional Development Fund; Universidad de Valladolid; European Commission","keywords":"Environmental resource management; Safeguarding; Environmental planning; Scenario analysis; Steppe; Biodiversity; Resource (disambiguation); Business; Ecosystem services; Ecosystem; Geography; Ecology; Environmental science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01853292,0.001286408,0.0005545652,0.003179147,0.001230657,0.004469615,0.001386,0.002096885,0.004666578],"category_scores_gemma":[0.0304428,0.0003891955,0.001015011,0.003581151,0.002255383,0.004738822,0.004058588,0.00150917,0.0001629695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004722043,"about_ca_system_score_gemma":0.002303216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005158216,"about_ca_topic_score_gemma":0.007078372,"domain_scores_codex":[0.9830233,0.01524466,0.0002412399,0.0004194266,0.0007114426,0.0003598847],"domain_scores_gemma":[0.9772061,0.01932625,0.0008033667,0.001139567,0.00104916,0.0004756178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004029462,0.0002060526,0.006467671,0.0004810421,0.0003731808,0.001064776,0.003611916,0.6423383,0.001231275,0.2837883,0.003578023,0.05645645],"study_design_scores_gemma":[0.0001676383,0.0003655287,0.005216059,0.001236044,0.0002251768,0.0002681659,0.01028696,0.4030109,0.003039171,0.539656,0.03634483,0.0001834681],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5279397,0.001876936,0.3109877,0.01112305,0.0002257455,0.001297335,0.001905216,0.0004170028,0.1442272],"genre_scores_gemma":[0.9341687,0.0004176697,0.06381287,0.0002235745,0.00001326794,0.0004792679,0.0002670458,0.00003723101,0.0005804214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01853292,"threshold_uncertainty_score":0.09801263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02639981278788029,"score_gpt":0.2603374735749022,"score_spread":0.2339376607870219,"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."}}