{"id":"W4302293856","doi":"10.22541/au.166505052.20953845/v1","title":"Widespread gene flow following range expansion in Anna's hummingbird","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"California Department of Transportation; U.S. Department of Transportation; National Science Foundation","keywords":"Hummingbird; Range (aeronautics); Gene flow; Ecology; Context (archaeology); Niche; Evolutionary biology; Biology; Selection (genetic algorithm); Ecological niche; Geography; Genetic variation; Gene; Paleontology; Genetics; Habitat","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001066353,0.00007656171,0.0001149189,0.0004110495,0.0003382865,0.0003143268,0.0001303315,0.0002032527,0.0009205245],"category_scores_gemma":[0.0004278953,0.00006532713,0.00007483495,0.0003194161,0.0003211082,0.0002021371,0.0002401771,0.0002663278,0.0001411997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003541962,"about_ca_system_score_gemma":0.0001957064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009319425,"about_ca_topic_score_gemma":0.01777813,"domain_scores_codex":[0.999947,0.000006216083,0.000001673368,0.00002256312,0.000009561702,0.00001303826],"domain_scores_gemma":[0.9998496,0.00002635216,0.00005274215,0.00001034784,0.00002533614,0.00003565814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002744928,0.00006533582,0.7026271,0.00007890781,0.00007539079,0.0004514836,0.002308036,0.0007243553,0.2695082,0.0006116591,0.0004229171,0.02285215],"study_design_scores_gemma":[0.00000139944,0.00001135689,0.9985261,0.000002232669,0.000004029132,0.00005122882,0.0001530827,0.0001765135,0.0008076394,0.00006497978,0.0001989977,0.000002357562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994418,0.00004972063,0.00005363776,0.00001872187,0.00000119368,6.596588e-7,0.00003670147,0.000004213014,0.0003933541],"genre_scores_gemma":[0.9995037,0.00004805032,0.0001231307,0.00002442321,0.000003825613,0.000001712701,0.0001022778,0.000002478624,0.0001904555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009319425,"threshold_uncertainty_score":0.01853037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843731093961498,"score_gpt":0.2605524209219376,"score_spread":0.2421151099823226,"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."}}