{"id":"W4402895393","doi":"10.1007/s10592-024-01642-6","title":"Correction: DNA-based studies and genetic diversity indicator assessments are complementary approaches to conserving evolutionary potential","year":2024,"lang":"en","type":"article","venue":"Conservation Genetics","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; McGill University; Trent University","funders":"","keywords":"Biology; Biodiversity; Genetic diversity; Diversity (politics); Evolutionary biology; Computational biology; Data science; Ecology; Computer science; Political science; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.000162256,0.00014597,0.0002115548,0.0001742824,0.0003293483,0.00005445202,0.00007123958,0.00005644628,0.0001326138],"category_scores_gemma":[0.00006158397,0.0001451426,0.0000511936,0.0002497866,0.0001022992,0.00005458123,0.0002163377,0.0001126194,0.00001722529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001663222,"about_ca_system_score_gemma":0.0004937299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005439124,"about_ca_topic_score_gemma":0.00003204652,"domain_scores_codex":[0.9987684,0.00007999791,0.0002696596,0.0003587898,0.0003169939,0.0002061369],"domain_scores_gemma":[0.9992027,0.0001349156,0.00006578706,0.0002002369,0.0001167745,0.0002795419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001078483,0.0001305144,0.9139274,0.00109105,0.0002901291,0.00009582048,0.0004107389,0.0003250834,0.00004563377,0.0001216159,0.06739321,0.01606095],"study_design_scores_gemma":[0.0005433253,0.0002158024,0.9156448,0.0002748384,0.0002519117,0.00003604738,0.001796918,0.07136206,0.00002303759,0.0001719826,0.009538779,0.0001405215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667011,0.004870338,0.007848695,0.01854827,0.001143715,0.0006038214,0.00006986081,0.0001063038,0.0001078759],"genre_scores_gemma":[0.9822301,0.0001699722,0.0106469,0.006394316,0.0002054633,0.00003005129,0.0001158483,0.00001672097,0.0001906284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07103698,"threshold_uncertainty_score":0.5918745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1677342314396605,"score_gpt":0.3428996667998798,"score_spread":0.1751654353602193,"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."}}