{"id":"W3138287822","doi":"10.1111/eva.13231","title":"Leveraging genomics to understand threats to migratory birds","year":2021,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"California Energy Commission; National Geographic Society; National Science Foundation","keywords":"Biology; Breed; Outbreak; Ecology; Range (aeronautics); Population; Animal sexual behaviour; Demography","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":[0.0006985142,0.0005312473,0.0004406636,0.001497169,0.0004130126,0.001009083,0.0003908954,0.0006329155,0.001637757],"category_scores_gemma":[0.001455241,0.0002218018,0.0006967404,0.001102821,0.0002988538,0.0007682182,0.0005723929,0.0009005728,0.0004573059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004878009,"about_ca_system_score_gemma":0.0005116545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006139951,"about_ca_topic_score_gemma":0.01292573,"domain_scores_codex":[0.9997157,0.00006660265,0.00001250679,0.0001194743,0.00004234079,0.00004335512],"domain_scores_gemma":[0.9991031,0.0004498663,0.0002290326,0.00005246147,0.00009215769,0.00007338124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002782643,0.0003926535,0.5998988,0.0006058528,0.0007891121,0.0007978194,0.001400179,0.02418092,0.2145561,0.004446596,0.003239975,0.1494137],"study_design_scores_gemma":[0.00003183533,0.0005160145,0.8915117,0.0002010741,0.0004348916,0.0006396865,0.001666917,0.05324998,0.0131051,0.01459385,0.02394459,0.0001043328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8966085,0.001745746,0.07498381,0.001689542,0.00009367384,0.0001655945,0.009145134,0.000640122,0.01492786],"genre_scores_gemma":[0.9278141,0.0008900084,0.06377149,0.001160123,0.00008108914,0.0001152643,0.004332643,0.0001385104,0.00169684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006139951,"threshold_uncertainty_score":0.01220846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02118906973571482,"score_gpt":0.2559513184763287,"score_spread":0.2347622487406139,"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."}}