{"id":"W4213266223","doi":"10.3390/foods11040518","title":"Influence of Production Factors on Beef Primal Tissue Composition","year":2022,"lang":"en","type":"article","venue":"Foods","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada; University of Manitoba","funders":"","keywords":"Marbled meat; Loin; Breed; Crossbreed; Lean tissue; Animal science; Composition (language); Biology; Production system (computer science); Food science; Biotechnology; Production (economics); Adipose tissue; Biochemistry","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":[0.0008581742,0.0004397247,0.0003524253,0.000359997,0.0001612422,0.0006976048,0.0001329183,0.00017879,0.0008319031],"category_scores_gemma":[0.00104883,0.0002132921,0.0002064837,0.000235423,0.000323484,0.0001783466,0.0002779252,0.0002727609,0.0001329942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003420847,"about_ca_system_score_gemma":0.0002217731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001778803,"about_ca_topic_score_gemma":0.004044851,"domain_scores_codex":[0.9992914,0.0003401012,0.00003761955,0.0001517435,0.0001197008,0.00005932383],"domain_scores_gemma":[0.9989529,0.000581858,0.0001844302,0.00006965611,0.0000600947,0.0001509486],"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":[0.006842739,0.0004218581,0.3454079,0.0000765645,0.000354331,0.0004762096,0.0002456953,0.0009070224,0.6261769,0.00007364773,0.00004970416,0.01896747],"study_design_scores_gemma":[0.00001948909,0.0018222,0.9795328,0.000005347681,0.0001390604,0.0001905498,0.0001196797,0.001004332,0.01687143,0.00003367362,0.0002501444,0.00001130156],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994264,0.0001475903,0.0002666522,0.000003760488,0.000001301686,0.000002399905,0.00003856704,0.000002134589,0.0001112677],"genre_scores_gemma":[0.9992459,0.00005766888,0.0003657463,0.000007985838,0.000001455985,0.000004183663,0.00008501266,0.000005366508,0.000226838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001778803,"threshold_uncertainty_score":0.004538476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009826882933759147,"score_gpt":0.2452662752713718,"score_spread":0.2354393923376127,"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."}}