{"id":"W2796613549","doi":"10.1139/cjas-2017-0070","title":"Association of <i>MSTN</i> gene polymorphism (C354T) with performance traits in raccoon dogs","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Genetics; Single-nucleotide polymorphism; Best linear unbiased prediction; Gene; Trait; SNP; Polymorphism (computer science); Quantitative trait locus; Candidate gene; Allele; Genotype; Selection (genetic algorithm)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003060184,0.0002478498,0.0001932729,0.0006090193,0.0002164697,0.0002255339,0.0001659149,0.0003626264,0.001162713],"category_scores_gemma":[0.0003691954,0.0001120877,0.0002414825,0.0005154,0.0003150474,0.00008841878,0.0001309037,0.0002210213,0.0001157701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000202182,"about_ca_system_score_gemma":0.0001483347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003026868,"about_ca_topic_score_gemma":0.00491994,"domain_scores_codex":[0.9997078,0.00006144897,0.00002686313,0.0001128151,0.00005318803,0.0000379389],"domain_scores_gemma":[0.9996442,0.00006505197,0.0001823296,0.00001987573,0.00003006543,0.00005856295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007814431,0.00007242833,0.9675305,0.00003951271,0.0001420279,0.0006859146,0.0002041176,0.0001591073,0.02655208,0.00008328647,0.0001076576,0.003641903],"study_design_scores_gemma":[0.000004002754,0.0001023607,0.9985667,0.000004661049,0.00002671664,0.0005050109,0.00005069415,0.0002038912,0.0003754483,0.00001836831,0.0001393878,0.00000274318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996704,0.00009945239,0.00006678585,0.00001242556,0.000001511424,0.000001310766,0.00004764139,0.000001384577,0.00009909263],"genre_scores_gemma":[0.9994561,0.00004426076,0.0001847048,0.00001248096,0.000004798404,0.000002993181,0.0001360254,0.000001726714,0.0001569481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003026868,"threshold_uncertainty_score":0.006018519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006931994159659168,"score_gpt":0.2081570697874608,"score_spread":0.2012250756278016,"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."}}