{"id":"W2787558674","doi":"10.7717/peerj.4364","title":"Genomic analysis of morphometric traits in bighorn sheep using the Ovine Infinium <sup>®</sup>  HD SNP BeadChip","year":2018,"lang":"en","type":"article","venue":"PeerJ","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; University of Alberta","funders":"Alberta Innovates - Technology Futures","keywords":"Ovis canadensis; Biology; Single-nucleotide polymorphism; Evolutionary biology; Genome-wide association study; SNP; Genetics; Trophy; Genetic architecture; Sexual selection; Selection (genetic algorithm); Sexual dimorphism; Genetic variation; Genetic association; Zoology; Quantitative trait locus; Population; Genotype; Demography; Gene; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004014889,0.0001797548,0.0002605956,0.0005664811,0.0002528353,0.0003952343,0.0002823507,0.0003077906,0.001738142],"category_scores_gemma":[0.0006330826,0.0001657847,0.0002326431,0.0006402981,0.0002482521,0.0001042867,0.0002708797,0.0002444863,0.000367227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000171156,"about_ca_system_score_gemma":0.0002129397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006115806,"about_ca_topic_score_gemma":0.02332977,"domain_scores_codex":[0.9996079,0.00004207002,0.00001556928,0.0001728785,0.0001319751,0.00002960323],"domain_scores_gemma":[0.9995558,0.0001420828,0.0001327476,0.00005314769,0.00007543099,0.00004083405],"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":[0.000438735,0.00009242052,0.3870172,0.000272881,0.0003678775,0.0005202051,0.001007582,0.0006327255,0.5454564,0.0004059288,0.002149376,0.0616386],"study_design_scores_gemma":[0.00001021069,0.00006301085,0.9932192,0.000006239348,0.00005036563,0.00019472,0.00005607536,0.0004081338,0.003792051,0.00006963978,0.00212294,0.000007395022],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839709,0.0006150378,0.007137632,0.00009814806,0.00002808101,0.00003937642,0.005893305,0.0001289018,0.002088651],"genre_scores_gemma":[0.9687133,0.0004246506,0.01684459,0.0002093163,0.0000423743,0.0001558391,0.009160561,0.00007604648,0.004373158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006115806,"threshold_uncertainty_score":0.01216042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02623251358179655,"score_gpt":0.2710735820255017,"score_spread":0.2448410684437052,"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."}}