{"id":"W1993122292","doi":"10.2527/jas.2007-0276","title":"Parentage identification using single nucleotide polymorphism genotypes: Application to product tracing1","year":2008,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Maple Leaf Foods","funders":"","keywords":"Sire; Genotyping; SNP; Biology; Single-nucleotide polymorphism; Genetics; Identification (biology); Genotype; Tracing; Computational biology; Computer science; Gene; Animal science","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":[],"consensus_categories":[],"category_scores_codex":[0.0003262351,0.00007756415,0.00008739463,0.00007625268,0.0001954398,0.00002679376,0.0003366159,0.00002767433,0.000004997866],"category_scores_gemma":[0.00007970064,0.00006985867,0.00004347401,0.0002488385,0.000189468,0.00001972708,0.00004962209,0.00005863483,0.000007106938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003767895,"about_ca_system_score_gemma":0.0001864362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000103706,"about_ca_topic_score_gemma":0.00000188288,"domain_scores_codex":[0.9990242,0.00001783125,0.0002785832,0.0002236607,0.0002828157,0.000172934],"domain_scores_gemma":[0.9992514,0.000003742094,0.0002204487,0.0001807631,0.0002152737,0.0001283322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006369453,0.00006738203,0.001351202,0.000002566413,0.000004209703,7.579333e-7,0.0001967973,0.000584127,0.9957262,0.00008801444,0.000104407,0.00181068],"study_design_scores_gemma":[0.0001157645,0.000683564,0.2437117,0.000009061385,0.00001179595,0.0002339297,0.00006934604,0.00004530254,0.7536657,0.00009856619,0.001249413,0.0001058673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632384,0.0002441913,0.03593658,0.0001039672,0.0002141993,0.0001049736,0.000001969257,0.000003073615,0.0001526249],"genre_scores_gemma":[0.9737832,0.000009627977,0.02561629,0.0000813958,0.0004531083,0.000001090972,8.931992e-7,0.000007152229,0.00004726304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2423605,"threshold_uncertainty_score":0.2848754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.025181193775704,"score_gpt":0.2731601628116445,"score_spread":0.2479789690359405,"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."}}