{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004614191,0.0001618504,0.0001560263,0.00002903638,0.0001463192,0.00006814659,0.0001678127,0.00007471585,0.000767959],"category_scores_gemma":[0.0004138102,0.0001398753,0.00005284962,0.0008368414,0.00003469686,0.0001262282,0.0001906399,0.0001217238,0.0002526791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003244155,"about_ca_system_score_gemma":0.00001720626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007281111,"about_ca_topic_score_gemma":0.00896515,"domain_scores_codex":[0.9982532,0.0003099586,0.0003206379,0.0004209649,0.0004233098,0.0002719074],"domain_scores_gemma":[0.9993608,0.0002121539,0.00008681881,0.000238058,0.00004359045,0.00005856181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001194133,0.0002643599,0.9642108,0.00003306475,0.00001457091,0.00002893965,0.001488494,0.00070988,0.01832215,0.000927732,0.00191477,0.01196583],"study_design_scores_gemma":[0.0002560714,0.0002987366,0.9931778,0.00002281457,0.00001941836,0.000006424155,0.0001067731,0.002148309,0.001111123,0.000600872,0.00208938,0.000162247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990268,0.00001791592,0.0003797531,0.007863732,0.00004670857,0.0007546829,0.000006963254,0.00002128439,0.0006409477],"genre_scores_gemma":[0.9898242,0.00002013181,0.002426906,0.007469134,0.00004290718,0.0001042234,0.00002013679,0.00001217152,0.00008014111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02896703,"threshold_uncertainty_score":0.9993295,"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."}}