{"id":"W6892248364","doi":"10.5061/dryad.kd51c5b3w","title":"High site fidelity does not equate to population structure for common goldeneye and Barrow’s goldeneye in North America.","year":2020,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Genetic structure; Gene flow; Population; Effective population size; Population genetics; Demographic history; Phylogeography; Genetic divergence","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":[0.0005386452,0.0001536419,0.0002457085,0.0006813763,0.000553422,0.0005175183,0.0003141066,0.0002687103,0.002207011],"category_scores_gemma":[0.001773573,0.0001329613,0.0002445054,0.0005574009,0.0005018497,0.0005157258,0.0005647977,0.0003127971,0.0001685584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000329918,"about_ca_system_score_gemma":0.0002225158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01190969,"about_ca_topic_score_gemma":0.06709611,"domain_scores_codex":[0.9995204,0.00006111401,0.0000296203,0.0002579743,0.0000838327,0.0000469373],"domain_scores_gemma":[0.9986371,0.0002873378,0.0005720599,0.0002367389,0.0001436784,0.0001230633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003599215,0.00001277343,0.9774144,0.00004190673,0.0001518982,0.00005702544,0.0005148048,0.000149354,0.01172277,0.0002608029,0.0001340409,0.009504355],"study_design_scores_gemma":[9.930362e-7,0.00001556882,0.9988503,0.000006079826,0.00001650534,0.00008801339,0.0001539818,0.000210719,0.0002357518,0.0001186222,0.0003011748,0.00000233298],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9973074,0.0001582435,0.001005249,0.00002429246,0.000004840917,0.000005761437,0.000202477,0.00000926885,0.001282501],"genre_scores_gemma":[0.9989704,0.00004518253,0.0005062223,0.00002068603,0.000002619503,0.000007099629,0.0002428068,0.00000285472,0.0002020594],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01190969,"threshold_uncertainty_score":0.02368075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03014568429311145,"score_gpt":0.317367733752687,"score_spread":0.2872220494595755,"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."}}