{"id":"W2117969430","doi":"10.1017/s1751731114002237","title":"Estimation of carcass composition and cut composition from computed tomography images of live growing pigs of different genotypes","year":2014,"lang":"en","type":"article","venue":"animal","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria","keywords":"Loin; Hounsfield scale; Linear regression; Mathematics; Allometry; Large white; Composition (language); Computed tomography; Regression analysis; Animal science; Biology; Statistics; Medicine; Surgery","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":[0.0001185833,0.00008320203,0.0002266453,0.00001408981,0.00005248737,0.000009467247,0.00006997077,0.00004238377,0.00002870419],"category_scores_gemma":[0.000008682211,0.00003856339,0.00006153391,0.00008548038,0.00009566827,0.0001052791,0.00003805113,0.00004213927,6.822222e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003210836,"about_ca_system_score_gemma":0.000001172152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006610121,"about_ca_topic_score_gemma":0.00002432522,"domain_scores_codex":[0.9992772,0.0001132924,0.0002421565,0.0001535411,0.0001347588,0.00007904095],"domain_scores_gemma":[0.9995286,0.0001649879,0.0001683511,0.0000343473,0.00007388141,0.0000298243],"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":[0.0001008247,0.00009767608,0.02765466,0.0000408304,0.00001588122,1.238711e-7,0.0001248393,0.000008360225,0.9640793,0.000661598,0.00001088326,0.007204986],"study_design_scores_gemma":[0.00008807074,0.0004219457,0.6391928,0.00004988893,0.00002185482,4.807052e-7,0.00004936003,0.001654505,0.3579613,0.0005038553,0.000001802252,0.00005411704],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999365,0.0001169666,0.0001238547,0.000129776,0.00002281281,0.00009391602,0.00008016503,0.00001413044,0.00005340589],"genre_scores_gemma":[0.9991072,0.00000769127,0.0006229911,0.00001867016,0.00006787915,0.000001101932,0.0001731415,6.314813e-7,6.865927e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6115382,"threshold_uncertainty_score":0.1572569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736277208904229,"score_gpt":0.2271593080645664,"score_spread":0.2097965359755241,"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."}}