{"id":"W3118972143","doi":"10.1186/s12711-020-00597-9","title":"Whole-genome sequencing reveals insights into the adaptation of French Charolais cattle to Cuban tropical conditions","year":2021,"lang":"en","type":"article","venue":"Genetics Selection Evolution","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Agencia Estatal de Investigación; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; European Commission","keywords":"Biology; Introgression; Genome; Adaptation (eye); Domestication; Evolutionary biology; Genetics; Whole genome sequencing; Local adaptation; Haplotype; Indel; Population; Genetic diversity; Single-nucleotide polymorphism; Gene; Genotype","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007639229,0.0001375629,0.0001282169,0.00006466315,0.0002257376,0.00001750324,0.000137959,0.0001513103,0.0000318608],"category_scores_gemma":[0.00009132439,0.0001293298,0.000072797,0.0003638476,0.00007995816,0.000004965977,0.00006017446,0.0001122271,0.00002361823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009327596,"about_ca_system_score_gemma":0.0002934862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009073679,"about_ca_topic_score_gemma":0.0007086426,"domain_scores_codex":[0.9988179,0.0001519854,0.0003024217,0.0003421493,0.0001893569,0.0001961684],"domain_scores_gemma":[0.9990822,0.00001703788,0.0001060231,0.0002981859,0.0004098268,0.00008674108],"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":[0.00001225921,0.00004381476,0.002675236,0.00001428695,0.00003983961,1.130483e-7,0.001186754,0.05272796,0.9402704,0.002066062,0.0005544224,0.0004088489],"study_design_scores_gemma":[0.0004859768,0.0008137221,0.7955585,0.00002418796,0.00008976564,0.0000323002,0.001002297,0.001251208,0.1754854,0.007928589,0.01700317,0.0003249096],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7597877,0.001398768,0.237931,0.0001942725,0.0002422968,0.0001950065,0.00002202638,0.00001149118,0.0002173978],"genre_scores_gemma":[0.9843923,0.00005430813,0.01394264,0.0001386607,0.0003608151,0.00003699046,0.0002814726,0.00001765796,0.0007750808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7928832,"threshold_uncertainty_score":0.5273918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01383772425135083,"score_gpt":0.2400824558159105,"score_spread":0.2262447315645597,"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."}}