{"id":"W2050322137","doi":"10.1525/cond.2011.100009","title":"Intercontinental Gene Flow among Western Arctic Populations of Lesser Snow Geese","year":2011,"lang":"en","type":"article","venue":"Ornithological Applications","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"College of Engineering, Michigan State University; Arctic Goose Joint Venture; U.S. Geological Survey; Michigan State University","keywords":"Gene flow; Philopatry; Ecology; Population; Genetic structure; Biology; Geography; Arctic; Population genetics; Biological dispersal; Genetic variation; Demography; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005858732,0.0001093267,0.0001196956,0.00003648283,0.00008826863,0.000008288605,0.0002117522,0.0001506745,0.0002565568],"category_scores_gemma":[0.00002652306,0.00009684125,0.00008597318,0.000104403,0.0001661256,0.000004997376,0.0001274949,0.00007810198,0.00003817254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000508928,"about_ca_system_score_gemma":0.000009719652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009833621,"about_ca_topic_score_gemma":0.00006357143,"domain_scores_codex":[0.9992956,0.00003740038,0.0002022285,0.0002525461,0.00008124897,0.0001309655],"domain_scores_gemma":[0.9994074,0.000006008951,0.00009975721,0.0003127728,0.0001019703,0.00007205681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000265682,0.0001344769,0.9713852,0.000008652173,0.00002419111,0.000001137677,0.000114847,0.00005693573,0.02624153,0.0002610381,0.0001623392,0.001583081],"study_design_scores_gemma":[0.000200401,0.00007260415,0.9757699,0.000004679728,0.00003338302,0.00001626377,0.00007433303,0.000005149596,0.02002618,0.0009447593,0.002725937,0.0001264478],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957735,0.00004878112,0.04048053,0.00005608998,0.00004760055,0.0002428756,0.00008434898,0.00001714787,0.001287593],"genre_scores_gemma":[0.9847687,0.00001398303,0.01384904,0.00008311198,0.0000662274,0.00005862972,0.0004052781,0.000008240995,0.0007467487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02703371,"threshold_uncertainty_score":0.3949071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04142410570506809,"score_gpt":0.258729911079184,"score_spread":0.2173058053741159,"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."}}