{"id":"W2086720079","doi":"10.1016/j.meatsci.2015.04.005","title":"Association between functional candidate genes and organoleptic meat traits in intensively-fed beef","year":2015,"lang":"en","type":"article","venue":"Meat Science","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"American Society of Colon and Rectal Surgeons","keywords":"Tenderness; Breed; Organoleptic; Biology; Single-nucleotide polymorphism; Population; Food science; Meat tenderness; Meat packing industry; Sensory system; Animal science; Genetics; Genotype; Medicine; Gene; Environmental health","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":[0.0005843154,0.0003857616,0.0002525997,0.0007222022,0.0002873372,0.000474304,0.0002300384,0.0004372058,0.00149908],"category_scores_gemma":[0.0007273403,0.0001805532,0.0004563374,0.000500427,0.0003639974,0.0001594772,0.0002408568,0.0004105334,0.00008146703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000174931,"about_ca_system_score_gemma":0.0001313122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002419745,"about_ca_topic_score_gemma":0.002659862,"domain_scores_codex":[0.99975,0.00009157331,0.00001775098,0.00006697743,0.00002587954,0.00004785525],"domain_scores_gemma":[0.9989665,0.0004704027,0.000271799,0.00004611336,0.00006722476,0.0001780317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004516846,0.0001759172,0.9245394,0.00004163916,0.0006478137,0.0005786888,0.0002781197,0.0001998691,0.06519954,0.00008771018,0.00008491302,0.003649654],"study_design_scores_gemma":[0.00001305575,0.000123814,0.9985353,0.00000279243,0.00009781129,0.0001795813,0.00009714503,0.0003120147,0.0005623312,0.00002764926,0.00004609825,0.000002550084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997934,0.00006375955,0.00004937897,0.00001263112,0.000001596381,4.472831e-7,0.00003434017,9.832842e-7,0.00004362128],"genre_scores_gemma":[0.99966,0.00002733197,0.00008160418,0.000009309207,0.000004107448,0.000001057732,0.00005646818,0.000001573081,0.0001585262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002419745,"threshold_uncertainty_score":0.005014956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0675161895959791,"score_gpt":0.256273344871985,"score_spread":0.1887571552760059,"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."}}