{"id":"W3209137458","doi":"10.1093/ornithapp/duab037","title":"Metapopulation connectivity retains genetic diversity following a historical bottleneck in a federally endangered seabird","year":2021,"lang":"en","type":"article","venue":"Ornithological applications","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metapopulation; Ecology; Endangered species; Population; Biology; Population bottleneck; Effective population size; Seabird; Genetic diversity; Geography; Habitat; Predation; Microsatellite; Biological dispersal; Demography; Allele","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003288898,0.00007395018,0.000143659,0.0006303819,0.0005643804,0.0004596195,0.0002371392,0.0001559581,0.001012656],"category_scores_gemma":[0.0007094541,0.00009798834,0.0001259589,0.0003644853,0.0004141621,0.0002733112,0.0003079259,0.0002250064,0.00009936171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038482,"about_ca_system_score_gemma":0.0004670292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09005994,"about_ca_topic_score_gemma":0.2249142,"domain_scores_codex":[0.99988,0.00001410102,0.000005244388,0.00004954005,0.0000145303,0.00003659325],"domain_scores_gemma":[0.9994577,0.00005418566,0.0002221106,0.00004789832,0.00009806199,0.0001201799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004217742,0.00002412817,0.9926108,0.000004379248,0.0000539726,0.00005693759,0.0004827442,0.0003247991,0.002792563,0.00007858444,0.000178165,0.003350745],"study_design_scores_gemma":[9.738567e-7,0.000009742967,0.9991348,0.000002502592,0.000006049257,0.00002573401,0.000210595,0.0004451279,0.0000504155,0.00002187796,0.00009050591,0.00000168552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997606,0.00001615482,0.00003819955,0.00001276225,9.091287e-7,5.809629e-7,0.00004975395,0.000001865762,0.0001191701],"genre_scores_gemma":[0.9998546,0.000006629183,0.00002914761,0.000005800557,8.593257e-7,6.012193e-7,0.00005670785,6.630444e-7,0.00004502049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09005994,"threshold_uncertainty_score":0.1790715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02786282194311798,"score_gpt":0.2520412763006374,"score_spread":0.2241784543575195,"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."}}