{"id":"W3024662562","doi":"10.1139/gen-2020-0001","title":"Signatures of selection analysis using whole-genome sequence data reveals novel candidate genes for pony and light horse types","year":2020,"lang":"en","type":"article","venue":"Genome","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Guelph","funders":"","keywords":"Pony; Biology; Evolutionary biology; Domestication; Genetics; Genetic diversity; Genome; Genetic variation; Natural selection; Selection (genetic algorithm); Horse; Gene; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002651378,0.0001738442,0.0002559627,0.0007314717,0.0002581366,0.0002952489,0.0001461639,0.0002222773,0.001601379],"category_scores_gemma":[0.000593317,0.00009528925,0.0003443501,0.0007819366,0.000252512,0.0001444219,0.0003142776,0.0003143468,0.0001614011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001522606,"about_ca_system_score_gemma":0.0001869074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001725473,"about_ca_topic_score_gemma":0.004054629,"domain_scores_codex":[0.999818,0.00002776632,0.00001043937,0.00007625568,0.00003645813,0.00003099442],"domain_scores_gemma":[0.9996113,0.0001381657,0.0001337255,0.00001997309,0.00002489553,0.00007193518],"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":[0.001075176,0.00006803929,0.3708606,0.0002053907,0.0004872005,0.002265614,0.0006839023,0.0009189743,0.5919362,0.000339813,0.0004690891,0.03068991],"study_design_scores_gemma":[0.00001958264,0.00008221859,0.9903365,0.00001520485,0.00008076101,0.0008486568,0.0001991474,0.002125982,0.004997005,0.0001757059,0.001107672,0.00001159628],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982175,0.0001641291,0.000810822,0.00003451228,0.000002664569,0.000006524022,0.0005079167,0.0000112584,0.0002446051],"genre_scores_gemma":[0.9973601,0.00007661023,0.001124248,0.0000344698,0.000004940056,0.000008915869,0.001114225,0.0000106369,0.0002658323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001725473,"threshold_uncertainty_score":0.005357087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03861003788588982,"score_gpt":0.2795143869094556,"score_spread":0.2409043490235658,"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."}}