{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003279992,0.00003510654,0.00005688682,0.00001406303,0.0001386239,0.00005849662,0.0000903086,0.00002183138,0.00002044922],"category_scores_gemma":[0.0001316444,0.00002885561,0.00000672038,0.0003754304,0.00002488607,0.0003107326,0.00006617248,0.00002748839,0.00000424163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002438187,"about_ca_system_score_gemma":0.00003609412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006774321,"about_ca_topic_score_gemma":0.005120813,"domain_scores_codex":[0.9994991,0.000005814945,0.00006667575,0.0001907364,0.00009528841,0.0001423914],"domain_scores_gemma":[0.9997967,0.00006081568,0.00002017175,0.00007056573,0.00002442877,0.00002735675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008331192,0.00001098866,0.9741257,0.00009322712,7.030183e-7,0.000001249579,0.0007661512,0.0001006882,0.02293124,0.0006354204,0.0001947101,0.001131592],"study_design_scores_gemma":[0.0002914676,0.00002996812,0.9539087,0.00003527235,0.000002577961,0.000006121976,0.0002800569,0.02080707,0.008690515,0.00110031,0.01475267,0.00009522057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981972,0.0001247267,0.0001293337,0.0007539885,0.0001343035,0.0001353752,0.00000590755,0.000007143078,0.000512014],"genre_scores_gemma":[0.9978441,0.00001619832,0.001562063,0.0004476771,0.00001728952,0.00001622123,0.000001995494,0.000002324251,0.00009211172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02070638,"threshold_uncertainty_score":0.2857534,"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."}}