{"id":"W2107090194","doi":"10.1525/cond.2013.120117","title":"Fine-Scale Analysis Reveals Cryptic Patterns of Genetic Structure in Canada Geese","year":2013,"lang":"en","type":"article","venue":"Ornithological Applications","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Trent University","funders":"","keywords":"Subspecies; Genetic structure; Biology; Microsatellite; Evolutionary biology; Population; Philopatry; Genetic variation; Goose; Ecology; Zoology; Genetics; Demography; Biological dispersal","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001125138,0.00008853402,0.0001173298,0.0007627611,0.0004218535,0.0003343407,0.0001405208,0.0001401011,0.0005706289],"category_scores_gemma":[0.000540984,0.00007610248,0.00008246224,0.0005994344,0.0004416384,0.00009971138,0.0001984289,0.0001468569,0.00008277556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008425906,"about_ca_system_score_gemma":0.0005495407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3998273,"about_ca_topic_score_gemma":0.7021317,"domain_scores_codex":[0.9999056,0.000007827279,0.000003636165,0.00003613703,0.00002321162,0.00002348962],"domain_scores_gemma":[0.9996638,0.00004915482,0.00008620952,0.00002448931,0.0001030299,0.00007332063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001132903,0.0000280172,0.9080095,0.00003110578,0.00007480258,0.0001097372,0.001460626,0.000375935,0.07616183,0.0001286074,0.0001711081,0.01333542],"study_design_scores_gemma":[6.856447e-7,0.00000677568,0.9994463,0.0000014629,0.000003090539,0.0000210492,0.00009557951,0.0001121094,0.0001985414,0.00001449306,0.00009845914,0.000001461807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993851,0.00005630334,0.0001800826,0.000007991973,5.188029e-7,0.000002370737,0.0001110957,0.000003107209,0.0002533659],"genre_scores_gemma":[0.9993063,0.00003347984,0.0002723859,0.0000104096,5.47134e-7,0.000002552095,0.0001727562,0.00000193746,0.0001995305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6001728,"threshold_uncertainty_score":0.795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006797143715156431,"score_gpt":0.2111218167884701,"score_spread":0.2043246730733136,"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."}}