{"id":"W1968066772","doi":"10.1650/0010-5422(2002)104[0652:haogps]2.0.co;2","title":"HIERARCHICAL ANALYSIS OF GENETIC POPULATION STRUCTURE IN THE NOISY MINER USING DNA MICROSATELLITE MARKERS","year":2002,"lang":"en","type":"article","venue":"Ornithological Applications","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Microsatellite; Biology; Population; Biological dispersal; Isolation by distance; Genetic diversity; Genetic structure; Evolutionary biology; Humanities; Genetics; Demography; Gene; Sociology","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":[0.0004212374,0.0001148596,0.0002304716,0.0009880625,0.0003742099,0.0002811025,0.0002074202,0.0001431188,0.0005228497],"category_scores_gemma":[0.001314829,0.0001163981,0.0002861491,0.0004063753,0.0002867967,0.0001558762,0.0003838117,0.0002314813,0.00007858403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003375766,"about_ca_system_score_gemma":0.0002482277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006892323,"about_ca_topic_score_gemma":0.0155094,"domain_scores_codex":[0.9997789,0.00006163218,0.00001332574,0.00008911623,0.00003569172,0.00002139487],"domain_scores_gemma":[0.9993837,0.0001915365,0.0001699205,0.00007664322,0.0001017306,0.00007648412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001892805,0.00007381905,0.8733504,0.00004392729,0.0001842605,0.0001971087,0.001921558,0.002636475,0.09867048,0.0003229163,0.00009597934,0.02231368],"study_design_scores_gemma":[0.000009291715,0.00008962455,0.9859644,0.000007263138,0.00003040065,0.0001179983,0.0002990846,0.01146455,0.001446111,0.0003087025,0.0002509473,0.00001155936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980487,0.00001638436,0.00175135,0.000005253172,3.074659e-7,0.00000770789,0.0000369235,0.00001082853,0.0001225598],"genre_scores_gemma":[0.9967085,0.000009581169,0.003043119,0.00000543938,5.46911e-7,0.00001109551,0.0001090625,0.0000038884,0.0001085486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006892323,"threshold_uncertainty_score":0.01370442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02012809951151121,"score_gpt":0.2531690323274941,"score_spread":0.2330409328159829,"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."}}