{"id":"W2050508340","doi":"10.1016/j.meatsci.2013.03.018","title":"Use of image analysis of cross-sectional cuts to estimate the composition of the 10th–11th–12th rib-cut of European lean beef bulls","year":2013,"lang":"en","type":"article","venue":"Meat Science","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Corporación Tecnológica de Andalucía","keywords":"Longissimus Thoracis; Rib cage; Composition (language); Animal science; Cross section (physics); Longissimus; Breed; Mathematics; Longissimus muscle; Loin; Anatomy; Biology; Tenderness","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":[0.0004496006,0.0002880402,0.000237527,0.001988356,0.0002161598,0.0005168602,0.0002188153,0.0003655144,0.0007375448],"category_scores_gemma":[0.0005182694,0.0002001615,0.0002795217,0.0006983745,0.0001681636,0.0002167114,0.0001713366,0.0002135312,0.0002133132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001721328,"about_ca_system_score_gemma":0.000166632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006313587,"about_ca_topic_score_gemma":0.01178371,"domain_scores_codex":[0.9998945,0.00001944974,0.000006410174,0.00003558412,0.00002246391,0.00002155863],"domain_scores_gemma":[0.9995899,0.0001101467,0.00006372833,0.00002821177,0.0001620663,0.00004593709],"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":[0.001232868,0.0002065138,0.3519515,0.0001559107,0.0004485883,0.0002221104,0.0003255043,0.001811826,0.5412222,0.000119446,0.00036292,0.1019407],"study_design_scores_gemma":[0.000009341137,0.00008603519,0.9826888,0.000007380025,0.00009699116,0.0003193953,0.00009950159,0.005860439,0.01054908,0.00003559663,0.0002378307,0.000009654529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887007,0.0003265549,0.009537255,0.00001734728,0.000009008038,0.00002629151,0.0004173601,0.00005334214,0.0009122802],"genre_scores_gemma":[0.9815137,0.000232114,0.01691046,0.00002703369,0.000009062918,0.00002324723,0.0007081017,0.0000271643,0.0005491578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006313587,"threshold_uncertainty_score":0.01255369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06204442764766696,"score_gpt":0.315799567613266,"score_spread":0.2537551399655991,"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."}}