{"id":"W2894991640","doi":"10.1016/j.meatsci.2018.10.005","title":"Assessing the accuracy of measurements obtained by dual-energy X-ray absorptiometry on pig carcasses and primal cuts","year":2018,"lang":"en","type":"article","venue":"Meat Science","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Swine Innovation Porc","keywords":"Dual-energy X-ray absorptiometry; Shoulders; Dual energy; Bone mineral content; Lean body mass; Lean tissue; Fat mass; Nuclear medicine; Bone mass; Muscle mass; Mathematics; Medicine; Bone mineral; Adipose tissue; Body weight; Surgery; Internal medicine; Osteoporosis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006473446,0.0006063877,0.0004862023,0.001253377,0.0003815591,0.001373534,0.0008996268,0.001545507,0.0006796997],"category_scores_gemma":[0.02262937,0.000516477,0.0004139304,0.0007439815,0.0007961846,0.0007308714,0.0005981771,0.0006557904,0.0005019421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004153866,"about_ca_system_score_gemma":0.0002474274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002714701,"about_ca_topic_score_gemma":0.005273456,"domain_scores_codex":[0.9946886,0.001866999,0.0006080481,0.001268342,0.001332886,0.0002350834],"domain_scores_gemma":[0.9741003,0.01429298,0.003410317,0.002593611,0.00534211,0.0002607568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00243909,0.00009169416,0.8900723,0.000172455,0.000556397,0.0001511233,0.0005458313,0.001099008,0.06238446,0.0001292864,0.0001584106,0.04219994],"study_design_scores_gemma":[0.00002998331,0.0005021346,0.9636605,0.00007322771,0.00041461,0.000672874,0.0002908798,0.008206207,0.02505762,0.0001065728,0.0009632722,0.00002217133],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751404,0.002229143,0.01964782,0.0001107773,0.0001093638,0.00002813814,0.0003897781,0.000101959,0.002242634],"genre_scores_gemma":[0.9881539,0.000423399,0.01006924,0.00009140444,0.00002875184,0.00001442347,0.0002771642,0.00004200033,0.0008998692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006473446,"threshold_uncertainty_score":0.0342353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06571512256164679,"score_gpt":0.3645660701223272,"score_spread":0.2988509475606804,"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."}}