{"id":"W2121792941","doi":"10.1002/047001153x.g202106","title":"Linking<scp>DNA</scp>to production: the mapping of quantitative trait loci in livestock","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Quantitative trait locus; Family-based QTL mapping; Biology; Gene; Livestock; Genetics; Trait; Gene mapping; Computer science; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0006475174,0.0003139761,0.000347173,0.001827063,0.0002783095,0.00128709,0.0007763045,0.000408908,0.01712758],"category_scores_gemma":[0.0007939788,0.0001460726,0.000269139,0.004244732,0.0003895482,0.0004385593,0.0005598016,0.0005516959,0.006191475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006375998,"about_ca_system_score_gemma":0.0005515816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003347237,"about_ca_topic_score_gemma":0.004111745,"domain_scores_codex":[0.999729,0.00003953467,0.00001163911,0.00006272021,0.0001410169,0.00001613653],"domain_scores_gemma":[0.9995548,0.0001792206,0.00006833293,0.00003853663,0.000123304,0.00003586498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001651615,0.00007682416,0.006351865,0.002081573,0.00008681631,0.0009384768,0.0002739993,0.003482273,0.1712114,0.02016716,0.0330524,0.7621121],"study_design_scores_gemma":[0.00004575646,0.0001403843,0.05438617,0.00109654,0.0001081828,0.002286657,0.000319422,0.00585132,0.10256,0.02642026,0.8067057,0.00007954949],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.08840606,0.1175864,0.4197801,0.006823293,0.001403163,0.0004881767,0.02368884,0.003484477,0.3383395],"genre_scores_gemma":[0.2937132,0.1084604,0.3197261,0.002619715,0.0007275615,0.0004639641,0.0240928,0.0008324056,0.2493638],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01712758,"threshold_uncertainty_score":0.05729747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269804254590189,"score_gpt":0.2209191303325964,"score_spread":0.2082210877866945,"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."}}