{"id":"W3114402713","doi":"10.1016/j.psj.2020.12.065","title":"Multiparametric in vivo ultrasound shear wave viscoelastography on farm-raised fatty duck livers: human radiology imaging applied to food sciences","year":2020,"lang":"en","type":"article","venue":"Poultry Science","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Elastography; Shear modulus; Ultrasound; Shear (geology); Medicine; Materials science; Biomedical engineering; Anatomy; Nuclear medicine; Radiology; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009252894,0.0003694751,0.0005052582,0.002151292,0.0006837136,0.0001946,0.0006628319,0.00007269371,0.00006459578],"category_scores_gemma":[0.001119922,0.0003257824,0.0001648448,0.009896398,0.002081042,0.0002311197,0.0001041515,0.0005434981,0.00007173549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001093816,"about_ca_system_score_gemma":0.000206696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000124712,"about_ca_topic_score_gemma":0.000006587189,"domain_scores_codex":[0.9960267,0.00006850532,0.0004456428,0.001435353,0.0009244053,0.001099383],"domain_scores_gemma":[0.9981914,0.0004761602,0.0001228219,0.00036843,0.0001187911,0.0007223722],"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":[0.0001350905,0.0002194818,0.424292,0.00003170314,0.00001771925,0.00001020231,0.002862113,0.000564258,0.5696962,0.0005986363,0.0001305782,0.001442025],"study_design_scores_gemma":[0.005513328,0.00463942,0.9258237,0.0003075371,0.00009183638,0.0004402903,0.01252216,0.001322842,0.04229403,0.0003678795,0.005194478,0.001482514],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981706,0.0001036876,0.001925611,0.001502402,0.0002352802,0.000707573,0.00001538508,0.000196413,0.01360768],"genre_scores_gemma":[0.9826736,0.00001574888,0.01165054,0.005436055,0.0001491783,0.00003344515,0.000003375126,0.00002404558,0.00001395581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5274022,"threshold_uncertainty_score":0.9999194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03393457195516925,"score_gpt":0.2804658705424373,"score_spread":0.2465312985872681,"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."}}