{"id":"W4406904698","doi":"10.1016/j.tree.2024.12.002","title":"Advances in systematic conservation planning to meet global biodiversity goals","year":2025,"lang":"en","type":"review","venue":"Trends in Ecology & Evolution","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Dalhousie University; Workers Compensation Board of British Columbia; Carleton University","funders":"HORIZON EUROPE Framework Programme","keywords":"Bridging (networking); Biodiversity; Environmental resource management; Ecosystem services; Business; Environmental planning; Diversity (politics); Conservation biology; Inclusion (mineral); Gap analysis (conservation); Computer science; Ecosystem; Ecology; Political science; Geography; Environmental science; Biology; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005900312,0.0002728872,0.0009404771,0.0005674115,0.0001548882,0.00001815283,0.0004051351,0.0002839562,0.0001775947],"category_scores_gemma":[0.000124841,0.0002643052,0.0001385176,0.001877591,0.000109473,0.0001678956,0.0005091372,0.0001212162,0.0002613075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003158371,"about_ca_system_score_gemma":0.00004180941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006111964,"about_ca_topic_score_gemma":0.01423949,"domain_scores_codex":[0.9978754,0.0004679248,0.0005758062,0.0005376067,0.0002046931,0.0003386043],"domain_scores_gemma":[0.99921,0.000170185,0.0002990257,0.0002564111,0.000009926093,0.00005445554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001179222,0.00009028032,0.9453089,0.01325427,0.00002304272,0.00001716928,0.0001347534,0.0011557,2.387926e-8,0.00003309001,0.003454251,0.03651671],"study_design_scores_gemma":[0.0004252445,0.00007475972,0.7965144,0.01239216,0.0004249852,0.000004883085,0.0002978677,0.0001343069,2.075057e-8,0.0001298935,0.1891848,0.0004166468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008856416,0.9754596,0.000125159,0.0004975406,0.0008035008,0.001857603,0.0001723375,0.00009230454,0.01213559],"genre_scores_gemma":[0.006762864,0.9902956,0.0003344923,0.0005049692,0.00003320494,0.0002933183,0.0004044769,0.00000813039,0.001362903],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1857306,"threshold_uncertainty_score":0.9999809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02481909011538908,"score_gpt":0.3046191705971513,"score_spread":0.2798000804817622,"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."}}