{"id":"W2157211770","doi":"","title":"Development and Characterization of a High Density\\nSNP Genotyping Assay for Cattle","year":2009,"lang":"","type":"article","venue":"Insecta mundi","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1050,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Genotyping; Biology; Single-nucleotide polymorphism; Genetics; SNP genotyping; Quantitative trait locus; SNP; Molecular Inversion Probe; Genome-wide association study; SNP array; Minor allele frequency; Computational biology; Genotype; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002363122,0.000269266,0.0003072069,0.00006340683,0.0001815832,0.0000349448,0.0001833983,0.0003133168,0.00001388955],"category_scores_gemma":[0.00006200575,0.0002955589,0.00007202558,0.00008457796,0.0001023774,0.000006832876,0.00008088191,0.00009264077,0.000002456955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002492513,"about_ca_system_score_gemma":0.000257288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008848347,"about_ca_topic_score_gemma":0.0001130588,"domain_scores_codex":[0.9985178,0.00006136028,0.0004712987,0.0004795831,0.0001288555,0.000341081],"domain_scores_gemma":[0.9991248,0.00002642408,0.0002512102,0.0003151457,0.0001704596,0.0001119892],"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":[0.0003007084,0.0002110763,0.002281305,0.0001613627,0.0001410834,3.512136e-7,0.001416037,0.00002415142,0.8602282,0.004973143,0.00003652842,0.1302261],"study_design_scores_gemma":[0.001132926,0.0008741944,0.7587731,0.00008910399,0.00009255455,0.00001851475,0.00001955756,0.00002990755,0.2256199,0.001176113,0.01171621,0.0004578716],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9407708,0.0006939174,0.05721397,0.0001506436,0.0003803751,0.0005165997,0.00005289296,0.000007981663,0.0002128459],"genre_scores_gemma":[0.9506859,0.00009557403,0.0479442,0.0002551157,0.0002830295,0.00001846607,0.0003353088,0.00002413179,0.0003583435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7564918,"threshold_uncertainty_score":0.9999496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308263458135979,"score_gpt":0.2285679100946987,"score_spread":0.2154852755133389,"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."}}