{"id":"W1539210379","doi":"10.1111/j.1365-2052.2011.02206.x","title":"Genetic relationships between Japanese native and commercial breeds using 70 chicken autosomal SNP genotypes by the DigiTag2 assay","year":2011,"lang":"en","type":"article","venue":"Animal Genetics","topic":"Livestock and Poultry Management","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; National Institute on Aging","keywords":"Biology; Broiler; Genetics; Phylogenetic tree; Genetic diversity; Single-nucleotide polymorphism; Genetic distance; SNP; Genotype; Genetic variation; Gene; Animal science; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002098764,0.0001554593,0.0001329655,0.00000956593,0.0005219281,0.00007808827,0.0002632163,0.000102708,0.00007912821],"category_scores_gemma":[0.00002965707,0.00006132187,0.00004378424,0.0001736449,0.0001518593,0.00007236304,0.0001864001,0.0001701087,0.00001762888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001328073,"about_ca_system_score_gemma":0.000006522495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000456771,"about_ca_topic_score_gemma":0.0001950795,"domain_scores_codex":[0.9989474,0.0001983694,0.000196769,0.0002347571,0.0001763072,0.000246355],"domain_scores_gemma":[0.9994949,0.0002090581,0.00008485433,0.00007066771,0.0000461394,0.00009444525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003532329,0.00007389351,0.9589312,0.000007298915,0.00007961327,0.00000267007,0.003839911,0.000006852266,0.0111522,0.0003013955,0.0006829163,0.02488672],"study_design_scores_gemma":[0.0000775757,0.0003434245,0.9940225,0.000005138235,0.00006423446,0.000004448756,0.0007805278,0.000140585,0.0004448386,0.0003674676,0.003575739,0.0001735545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995814,0.0005308153,0.00001679237,0.0003234913,0.00004556146,0.0002416414,0.00006651655,0.00003076317,0.002930391],"genre_scores_gemma":[0.9988275,0.00005201932,0.0004398488,0.0001192977,0.0003117046,0.000006197808,0.00002552318,0.000002383985,0.0002155202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03509126,"threshold_uncertainty_score":0.4014301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1119780328083993,"score_gpt":0.2497126311045017,"score_spread":0.1377345982961024,"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."}}