{"id":"W3161819570","doi":"10.1126/science.abc4896","title":"Balancing conservation priorities for nature and for people in Europe","year":2021,"lang":"en","type":"article","venue":"Science","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Agence Nationale de la Recherche; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Emissions Reduction Alberta","keywords":"Ecosystem services; Biodiversity; Tourism; Environmental resource management; Ecosystem; Cultural heritage; Value (mathematics); Geography; Environmental planning; Nature Conservation; Distribution (mathematics); Biodiversity conservation; Conservation biology; Flood myth; Business; Ecology; Environmental science; Computer science; Biology","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":[0.002019332,0.0002334706,0.0003283043,0.002024852,0.0007160945,0.002870917,0.0003466452,0.0009502015,0.00194381],"category_scores_gemma":[0.007268683,0.0001678109,0.0002939986,0.003032479,0.0007928869,0.001855402,0.002515591,0.0003050783,0.000108817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106682,"about_ca_system_score_gemma":0.0005531979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01162209,"about_ca_topic_score_gemma":0.01327386,"domain_scores_codex":[0.9986274,0.0005212505,0.00009739416,0.0003067815,0.0002124807,0.000234684],"domain_scores_gemma":[0.9984994,0.0005792871,0.0003822725,0.0001133919,0.0002175683,0.0002079759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005836126,0.0001475764,0.6142768,0.0002749597,0.0006024348,0.0004626893,0.004093342,0.09121239,0.003045936,0.1192711,0.003499229,0.1625299],"study_design_scores_gemma":[0.00009798269,0.0002207295,0.7750613,0.0004022527,0.0002472075,0.0007224588,0.01283504,0.05300389,0.001462738,0.1329823,0.02284821,0.0001158992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826766,0.0007555326,0.003118497,0.0002488853,0.00001541391,0.00001051411,0.0002453178,0.00001857117,0.01291068],"genre_scores_gemma":[0.9956228,0.0001930484,0.003684386,0.0000550796,0.000006189403,0.000008018869,0.0001600252,0.000006565083,0.0002639634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01162209,"threshold_uncertainty_score":0.0231089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008334515464013297,"score_gpt":0.2371666165137482,"score_spread":0.2288321010497349,"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."}}