{"id":"W2907294158","doi":"10.1101/507384","title":"A complex copy number variant underlies differences in both colour plumage and cold adaptation in a dimorphic seabird","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"McGill University; Nature; Environment and Climate Change Canada; Natural Sciences and Engineering Research Council of Canada; Queen's University; American Ornithologists' Union","keywords":"Biology; Genetics; Evolutionary biology; Adaptation (eye); Plumage; Gene; Candidate gene; Sexual dimorphism; Genetic architecture; Copy-number variation; Genome; Quantitative trait locus; Zoology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001480601,0.0002190125,0.000226954,0.0007236773,0.000164019,0.0002999078,0.0002504051,0.0003241363,0.003099604],"category_scores_gemma":[0.0005079707,0.0001428461,0.0002934092,0.0003503456,0.000348922,0.0001258175,0.0002867783,0.0003406108,0.0003139162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001514171,"about_ca_system_score_gemma":0.00005945835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001187633,"about_ca_topic_score_gemma":0.001723883,"domain_scores_codex":[0.999767,0.00002782608,0.00001587477,0.0001093316,0.00005054641,0.00002943915],"domain_scores_gemma":[0.9996467,0.00009272087,0.0001422606,0.0000400164,0.00002165605,0.0000566539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006016023,0.00006267113,0.1892487,0.00006006899,0.0002270009,0.0009551476,0.000296109,0.0003973678,0.79708,0.0003645763,0.0002125929,0.01049426],"study_design_scores_gemma":[0.00001642995,0.0001273322,0.9844344,0.000006190642,0.00007369557,0.002849628,0.00009550477,0.001059563,0.01053793,0.000205188,0.0005790284,0.00001511295],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987487,0.0001116453,0.0006501745,0.0000173457,0.000003960027,0.0000034814,0.0002161372,0.00001764285,0.000230965],"genre_scores_gemma":[0.9991418,0.00002746521,0.0003441766,0.0000197048,0.000004669261,0.000003133153,0.0002322544,0.0000116803,0.0002150698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003099604,"threshold_uncertainty_score":0.01036918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02784544001140653,"score_gpt":0.2298888014407099,"score_spread":0.2020433614293033,"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."}}