{"id":"W4390410446","doi":"10.1111/cobi.14235","title":"Leakage of biodiversity risks under the European Union Biodiversity Strategy 2030","year":2023,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; European union; Leakage (economics); Biodiversity conservation; Environmental science; Geography; Business; Environmental protection; Environmental planning; Environmental resource management; Ecology; Biology; Economics; International trade","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006109484,0.00006328597,0.00006300364,0.00004509772,0.0001699814,0.000007906549,0.0002442914,0.00003825455,0.001002834],"category_scores_gemma":[0.00002082034,0.00004762974,0.00003239282,0.0003733004,0.0004156052,0.00007182542,0.0003070755,0.00005596657,0.004676606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002155947,"about_ca_system_score_gemma":0.00000451505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005118383,"about_ca_topic_score_gemma":0.0003799305,"domain_scores_codex":[0.9992189,0.0003519249,0.00009660041,0.0001392528,0.00005800751,0.0001353514],"domain_scores_gemma":[0.9996446,0.00007617316,0.00007966664,0.00016805,0.00000814014,0.00002333968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004622298,0.00001098148,0.737656,0.000002754807,0.00001049752,0.000001298592,0.00009083025,0.0003491084,0.001025514,0.001029858,0.2583272,0.001491364],"study_design_scores_gemma":[0.0001539379,0.000036586,0.9239927,9.037287e-7,0.000009384779,2.410915e-7,0.00009050936,0.0001871322,0.00008037931,0.0005211218,0.07487037,0.00005676853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748073,0.000004559412,0.00006864724,0.006778918,0.00009401114,0.0001010563,0.00005413161,0.00005539721,0.01803604],"genre_scores_gemma":[0.997652,0.00004671722,0.00001094932,0.001105564,0.00001351082,6.41112e-7,0.0001574269,0.000001571326,0.001011635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1863367,"threshold_uncertainty_score":0.9999104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0865222182351728,"score_gpt":0.2753793331674472,"score_spread":0.1888571149322744,"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."}}