{"id":"W4240983957","doi":"10.1093/condor/104.3.652","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":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Microsatellite; Isolation by distance; Population; Biological dispersal; Biology; Genetic structure; Genetic diversity; Evolutionary biology; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007889279,0.0001039304,0.0001479633,0.0001080077,0.00008696099,0.00001589124,0.0002282889,0.0001691146,0.0002038639],"category_scores_gemma":[0.00002042822,0.00007536758,0.0001077244,0.0006729251,0.0001059511,0.000002360611,0.00004940827,0.00009923883,0.000003080485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007371235,"about_ca_system_score_gemma":0.000003781358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009845988,"about_ca_topic_score_gemma":0.00006927332,"domain_scores_codex":[0.9991315,0.000113624,0.0002328723,0.0002595658,0.0001268256,0.0001356013],"domain_scores_gemma":[0.9994851,0.00002345706,0.00009432511,0.0003224473,0.00004060953,0.00003408187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002661037,0.00009313972,0.8518857,0.000009215147,0.0001184702,0.000001881375,0.0001457404,0.009136024,0.1333245,0.000144779,0.0001293017,0.004984639],"study_design_scores_gemma":[0.0001329051,0.00002915427,0.994114,0.000001236196,0.0001806648,0.00001127384,0.00004713227,0.0004547149,0.0005749012,0.0003196988,0.004034031,0.0001002768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948779,0.0001969402,0.00423714,0.0001137383,0.00001283764,0.0002310342,0.0001110269,0.000004589887,0.0002147738],"genre_scores_gemma":[0.992473,0.00003805979,0.006762282,0.0002333032,0.00004309581,0.00001246475,0.0003799121,0.000004527388,0.00005336234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1422283,"threshold_uncertainty_score":0.3073401,"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."}}