{"id":"W4401731654","doi":"10.1007/s10592-024-01632-8","title":"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":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; McGill University; Trent University","funders":"University of Sydney","keywords":"Genetic diversity; Biology; Conservation genetics; Genetic erosion; Biodiversity; Population; Genetic variation; Evolutionary biology; Ecology; Genetics; Microsatellite; Gene; Allele","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":[0.01421195,0.0007802575,0.0009512143,0.01070434,0.000722948,0.003637366,0.001308076,0.001110804,0.003181832],"category_scores_gemma":[0.02046798,0.0002785494,0.0004918972,0.006162312,0.002354592,0.004048624,0.002395353,0.001628239,0.0005147377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303355,"about_ca_system_score_gemma":0.001567386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002239509,"about_ca_topic_score_gemma":0.005156335,"domain_scores_codex":[0.9888964,0.007097531,0.0006120199,0.001167062,0.002036144,0.0001908883],"domain_scores_gemma":[0.9676178,0.0145514,0.01027854,0.002174746,0.004162966,0.001214568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002308293,0.0003477404,0.287464,0.002157124,0.001167014,0.0002878934,0.001737674,0.009277919,0.00856141,0.07201856,0.00319741,0.6135525],"study_design_scores_gemma":[0.0001216517,0.00128421,0.4961673,0.004308642,0.0008006293,0.001384342,0.007745474,0.02992572,0.01360159,0.3392386,0.1048318,0.0005900493],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2692728,0.03388843,0.5967677,0.01315818,0.00139957,0.0009502348,0.005392642,0.0006507237,0.07851981],"genre_scores_gemma":[0.6819916,0.01001944,0.2993692,0.002057777,0.0005655269,0.0006398861,0.0009870352,0.0000594683,0.004310103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01421195,"threshold_uncertainty_score":0.07516086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1114131703704002,"score_gpt":0.2953564104258815,"score_spread":0.1839432400554813,"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."}}