{"id":"W3141685688","doi":"10.1038/s41586-021-03473-8","title":"Author Correction: Dense sampling of bird diversity increases power of comparative genomics","year":2021,"lang":"en","type":"article","venue":"Nature","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; The Scarborough Hospital; Royal Ontario Museum; University of Toronto","funders":"National Human Genome Research Institute; National Heart, Lung, and Blood Institute; Villum Fonden","keywords":"Diversity (politics); Sampling (signal processing); Power (physics); Genomics; Computational biology; Evolutionary biology; Biology; Computer science; Physics; Genetics; Telecommunications; Genome; Sociology; Anthropology; Gene","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":[0.005389529,0.001835592,0.001513742,0.00337877,0.003093068,0.004256206,0.003435125,0.004515544,0.07999186],"category_scores_gemma":[0.09566692,0.00103853,0.001473577,0.002701406,0.002563346,0.00268927,0.002434841,0.01082152,0.03696717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003093742,"about_ca_system_score_gemma":0.004641938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008873721,"about_ca_topic_score_gemma":0.01373353,"domain_scores_codex":[0.9924802,0.001238815,0.001117232,0.001474648,0.003233386,0.0004558107],"domain_scores_gemma":[0.9346083,0.01630401,0.003369968,0.005496914,0.03801125,0.002209548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003322459,0.000003192977,0.0001308282,0.0001469241,0.00001969314,0.0001716888,0.00005447593,0.00007667603,0.0001334709,0.001251971,0.9914247,0.006553141],"study_design_scores_gemma":[0.00003880218,0.00001358276,0.0008036799,0.0003442261,0.00003632153,0.0005577582,0.0000871693,0.0003737326,0.0006165878,0.003011918,0.9940743,0.00004196565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002658079,0.0009889685,0.00292235,0.03443519,0.9558954,0.0000194137,0.001658541,0.0008363918,0.002978052],"genre_scores_gemma":[0.0490713,0.009173891,0.0251802,0.09732917,0.4866575,0.0003726419,0.008136895,0.00908898,0.3149896],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07999186,"threshold_uncertainty_score":0.2675995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04368441151141744,"score_gpt":0.2910569854288168,"score_spread":0.2473725739173993,"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."}}