{"id":"W4293367497","doi":"10.1111/csp2.12769","title":"Genetic evidence to inform management of rare genetic variants and gene flow: Balancing the conservation of the rare “Spirit bear” allele and population genetic diversity across a complex landscape","year":2022,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada); Fisheries and Oceans Canada; Provincial Health Services Authority; Raincoast Conservation Foundation; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Wilburforce Foundation","keywords":"Genetic diversity; Gene flow; Allele; Population; Biology; Evolutionary biology; Ursus; Effective population size; Conservation genetics; Wildlife; Genetics; Ecology; Microsatellite; Geography; Gene; Demography; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.004900518,0.0002824258,0.0003027805,0.002528419,0.0007536217,0.001641992,0.0009499251,0.000689651,0.002164614],"category_scores_gemma":[0.010079,0.0001165625,0.0001727369,0.001828153,0.001181297,0.0007545879,0.0009645072,0.0006086619,0.000207641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008324105,"about_ca_system_score_gemma":0.001713506,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01852883,"about_ca_topic_score_gemma":0.07802256,"domain_scores_codex":[0.9981707,0.0008865725,0.0001662166,0.0002901728,0.0003752801,0.0001110202],"domain_scores_gemma":[0.9933423,0.002223952,0.002398821,0.0003638712,0.001135865,0.0005352019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001165322,0.00009669846,0.894302,0.0001787431,0.0001491593,0.0003609082,0.0006472378,0.002236425,0.004965955,0.001269194,0.002596393,0.09308088],"study_design_scores_gemma":[0.00003917383,0.0002283564,0.9694121,0.000564075,0.0002366889,0.0003066977,0.004140706,0.007889125,0.002087994,0.004584264,0.01046151,0.00004922476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960213,0.002116318,0.01409865,0.006222327,0.0001107604,0.0001340152,0.0009892125,0.0001467842,0.01596882],"genre_scores_gemma":[0.9877,0.000576883,0.01035176,0.0004954151,0.00005209818,0.0000228869,0.0002542027,0.00001021367,0.000536614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9814712,"threshold_uncertainty_score":0.03684193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04444671113903525,"score_gpt":0.2847830531569716,"score_spread":0.2403363420179364,"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."}}