{"id":"W4237452219","doi":"10.36508/rsatu.2021.50.2.007","title":"INFLUENCE OF POLYMORPHIC GENES ON QUALITATIVE INDICATORS OF MEAT PRODUCTS","year":2021,"lang":"ru","type":"article","venue":"VESTNIK RIAZANSKOGO GOSUDARSTVENNOGO AGROTEHNOLOGICHESKOGO UNIVERSITETA IM P A KOSTYCHEVA","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tenderness; Genotype; Organoleptic; Biology; Polymerase chain reaction; Loin; Allele; Meat packing industry; Microsatellite; Genetics; Veterinary medicine; Animal science; Food science; Gene; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003491319,0.0003104447,0.0002552709,0.0006853659,0.0002372479,0.0005754302,0.0001460232,0.0003055804,0.003016829],"category_scores_gemma":[0.0008176437,0.0002132026,0.0004662893,0.0005341358,0.0002773537,0.0001414185,0.0002415684,0.0004017351,0.0004149106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002190006,"about_ca_system_score_gemma":0.0002296954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002187409,"about_ca_topic_score_gemma":0.00206231,"domain_scores_codex":[0.9994819,0.0001530096,0.00002329641,0.0001769043,0.0001056564,0.00005926886],"domain_scores_gemma":[0.9994242,0.0002364665,0.000134694,0.00004540157,0.00005766212,0.000101585],"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":[0.003992481,0.000121822,0.2651297,0.000186909,0.000577768,0.00123722,0.0004558162,0.000539895,0.6983188,0.0008249722,0.0005764553,0.02803813],"study_design_scores_gemma":[0.000019896,0.0003219892,0.9593898,0.00002107365,0.0002718277,0.000772198,0.0002786173,0.00104541,0.03449674,0.0006411385,0.002715762,0.00002552717],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927385,0.0009683152,0.002321795,0.0001028059,0.00005398846,0.00001395008,0.001490002,0.00004622001,0.002264345],"genre_scores_gemma":[0.9965314,0.0001781162,0.001026477,0.00003006187,0.000009387789,0.00001353916,0.0003710647,0.00002074047,0.001819272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003016829,"threshold_uncertainty_score":0.01009232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03200815443075531,"score_gpt":0.2502706150589399,"score_spread":0.2182624606281846,"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."}}