{"id":"W3142583867","doi":"10.1111/acv.12688","title":"Low effective population size in the genetically bottlenecked Australian sea lion is insufficient to maintain genetic variation","year":2021,"lang":"en","type":"article","venue":"Animal Conservation","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Population bottleneck; Inbreeding; Effective population size; Biology; Genetic variation; Population; Coalescent theory; Inbreeding depression; Genetic drift; Population size; Approximate Bayesian computation; Ecology; Evolutionary biology; Demography; Allele; Genetics; Microsatellite; Phylogenetic tree","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":[0.0008197904,0.0001158407,0.0001966707,0.000479155,0.000294859,0.0003638852,0.0002978301,0.0002301029,0.001190254],"category_scores_gemma":[0.001167795,0.00009643179,0.0001799094,0.0002665935,0.0004582655,0.0003743601,0.0002775429,0.0002641414,0.0001033598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004928309,"about_ca_system_score_gemma":0.0002905016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009081848,"about_ca_topic_score_gemma":0.0198418,"domain_scores_codex":[0.9998752,0.00004172458,0.000009581536,0.00003497041,0.00002204738,0.0000164886],"domain_scores_gemma":[0.9992166,0.000256577,0.0002655883,0.00006151368,0.0001297073,0.00006997269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003464734,0.0000530681,0.8521671,0.0001413734,0.0003116948,0.0004528024,0.001214218,0.006324619,0.1032574,0.001211197,0.0003267039,0.03419333],"study_design_scores_gemma":[0.00001143084,0.0002027706,0.9837457,0.00003331253,0.00007486196,0.0002987348,0.0005499174,0.01059708,0.002268924,0.001058668,0.001140702,0.00001798108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986789,0.00008156677,0.0007634615,0.0000392343,0.000001422563,0.000001689047,0.00003128111,0.000006905342,0.00039548],"genre_scores_gemma":[0.9993033,0.0000390675,0.0004314392,0.00002308729,0.000001473775,0.000002381238,0.00003984077,0.000002194569,0.0001572733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009081848,"threshold_uncertainty_score":0.01805794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380664610332209,"score_gpt":0.2491026853984004,"score_spread":0.2352960392950783,"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."}}