{"id":"W2738967796","doi":"","title":"QTL detection for growth and carcass quality traits thanks to a high density SNP chip in pig","year":2013,"lang":"en","type":"preprint","venue":"Prodinra (INRA Bordeaux-Aquitaine)","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":"Hendrix Genetics (Canada)","funders":"","keywords":"SNP; Quantitative trait locus; Chip; Quality (philosophy); SNP array; Biology; Computer science; Genetics; Single-nucleotide polymorphism; Gene; Genotype; Telecommunications; Physics","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":[0.0005074972,0.0002041634,0.0004029863,0.0004652851,0.0001512842,0.0002829662,0.0001931224,0.0002514799,0.0007516984],"category_scores_gemma":[0.0003010423,0.0002209499,0.000446543,0.0004367368,0.0001658103,0.00007303477,0.0002851254,0.0002483892,0.0001923694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001197976,"about_ca_system_score_gemma":0.0001685926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001428546,"about_ca_topic_score_gemma":0.002412242,"domain_scores_codex":[0.9997262,0.00004552622,0.0000100524,0.0001330572,0.00004300154,0.00004208175],"domain_scores_gemma":[0.9998167,0.00008985335,0.00003058483,0.00002312238,0.00001808307,0.00002163323],"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":[0.0002590146,0.00003947593,0.01391163,0.00005819416,0.00009295074,0.0001020057,0.00009755341,0.0005393073,0.9745477,0.00007173736,0.0001267638,0.01015371],"study_design_scores_gemma":[0.00004623843,0.0002883765,0.9488851,0.000008437388,0.0001865073,0.0003045878,0.00005409574,0.005634764,0.0426526,0.0001119189,0.001803648,0.00002383173],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982971,0.0002726251,0.01447505,0.00003193555,0.00001413826,0.00003404353,0.001610899,0.00009771106,0.0004926117],"genre_scores_gemma":[0.9764619,0.0001389344,0.01834772,0.0001175943,0.00001302261,0.0001265003,0.003108056,0.00005255052,0.001633625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001428546,"threshold_uncertainty_score":0.002840459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0292603998726697,"score_gpt":0.2782651502281671,"score_spread":0.2490047503554974,"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."}}