{"id":"W4410015402","doi":"10.1016/j.ecolind.2025.113527","title":"Corrigendum to “Limitations of beta diversity in conservation site selection” [Ecol. Indic. 154 (2023) 110732]","year":2025,"lang":"en","type":"erratum","venue":"Ecological Indicators","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Fisheries and Oceans Canada","funders":"","keywords":"Selection (genetic algorithm); Beta diversity; Diversity (politics); Ecology; Geography; Biodiversity; Biology; Computer science; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002675141,0.002298993,0.001995023,0.003310786,0.004390225,0.004033328,0.003597101,0.007039496,0.1942209],"category_scores_gemma":[0.0273715,0.001570503,0.001872549,0.002436679,0.001922742,0.002244764,0.002222469,0.008447308,0.1569925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004067581,"about_ca_system_score_gemma":0.005449037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07566691,"about_ca_topic_score_gemma":0.1051764,"domain_scores_codex":[0.9967129,0.00043064,0.0004917524,0.0005025041,0.001552379,0.0003098074],"domain_scores_gemma":[0.9768293,0.004454867,0.0009233737,0.001103268,0.01556241,0.001126621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009141828,0.000004225629,0.00002226609,0.00002503207,0.000001789742,0.00002745483,0.000003271597,0.00001303476,0.00001618,0.0002057305,0.9979247,0.001747075],"study_design_scores_gemma":[0.00003984958,0.00002197454,0.00150475,0.0002206504,0.00001551947,0.00009165075,0.00004394081,0.0002124525,0.0001770132,0.001488417,0.9961442,0.00003951304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001336109,0.000968633,0.0008341052,0.0722442,0.8929498,0.00008695021,0.00428067,0.001146565,0.02735544],"genre_scores_gemma":[0.003021025,0.002784185,0.002781292,0.1084094,0.123208,0.000396946,0.005579756,0.001367145,0.7524523],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1942209,"threshold_uncertainty_score":0.6497336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04140258029029961,"score_gpt":0.2433712070097816,"score_spread":0.201968626719482,"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."}}