{"id":"W3110123852","doi":"10.1093/jas/skaa278.606","title":"PSVII-39 Late-Breaking Abstract: Enhancing production and Aleutian disease resilience in mink through advanced genomics","year":2020,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Alberta; Dalhousie University","funders":"","keywords":"Mink; American mink; Biology; Genomics; Genome; Population genomics; Population; Reference genome; DNA sequencing; Whole genome sequencing; Genetics; Evolutionary biology; Gene; Ecology; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002845453,0.0003057183,0.0002752807,0.0002473604,0.000407559,0.0006556551,0.000354801,0.000341674,0.004911107],"category_scores_gemma":[0.0001670983,0.000108856,0.0003303835,0.0002202768,0.0002222618,0.0002580881,0.00042216,0.000539646,0.001259292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032104,"about_ca_system_score_gemma":0.0008459662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007884189,"about_ca_topic_score_gemma":0.01186219,"domain_scores_codex":[0.9998405,0.00001589998,0.000009327605,0.00005653188,0.00004326768,0.00003447653],"domain_scores_gemma":[0.9998701,0.000008722463,0.00002133797,0.00001403562,0.0000365341,0.00004923623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004178057,0.00008670432,0.009465263,0.00009842902,0.00003389693,0.000117057,0.0001221859,0.0003191382,0.9694834,0.0003698613,0.00147906,0.01800725],"study_design_scores_gemma":[0.000101333,0.001423234,0.3514638,0.0000760769,0.0001528601,0.0006703034,0.0004734598,0.00259397,0.5526269,0.000446237,0.08992524,0.00004666214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739453,0.0006810326,0.007735351,0.0006681463,0.0001176654,0.0002031626,0.007276454,0.0003127689,0.009060264],"genre_scores_gemma":[0.9211529,0.0006989756,0.0193034,0.0005420347,0.00005378522,0.0001773439,0.01364095,0.0002397716,0.04419086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007884189,"threshold_uncertainty_score":0.01642925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287244053138074,"score_gpt":0.2877171984824042,"score_spread":0.2748447579510235,"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."}}