{"id":"W2965099042","doi":"10.1007/s40846-019-00482-x","title":"Mechanical Characterization of Soft Tissue Constituents for Cancer Detection","year":2019,"lang":"en","type":"article","venue":"Journal of Medical and Biological Engineering","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Elastography; Soft tissue; Biomedical engineering; Materials science; Stiffness; Biological tissue; Breast cancer; Human breast; Cancer; Pathology; Acoustics; Ultrasound; Medicine; Physics; Composite material","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":[0.0003048198,0.0002330867,0.0001609247,0.0007129011,0.0002182926,0.0003516672,0.000230839,0.0005072501,0.001410022],"category_scores_gemma":[0.0004293247,0.0002028879,0.0001603183,0.0003382869,0.000285693,0.0003394315,0.0001910214,0.000194366,0.0002925542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001156374,"about_ca_system_score_gemma":0.0001806808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000339835,"about_ca_topic_score_gemma":0.000863621,"domain_scores_codex":[0.9998364,0.00002447971,0.000007797786,0.0000269254,0.00008774149,0.0000166955],"domain_scores_gemma":[0.9997216,0.0001069334,0.00006178472,0.0000222121,0.00006471452,0.00002284202],"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":[0.00006113662,0.00002491884,0.001701156,0.0000544506,0.000005927206,0.00004258611,0.0000325987,0.00127239,0.990669,0.0001028489,0.0000447271,0.00598831],"study_design_scores_gemma":[0.000009137017,0.0003805808,0.02981829,0.00002620958,0.00004587789,0.0005026151,0.0001992885,0.06090057,0.905346,0.0002564981,0.002490463,0.00002435093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574981,0.001523776,0.03806688,0.0001289497,0.0000279323,0.00004433643,0.0001979372,0.0000834307,0.002428618],"genre_scores_gemma":[0.98758,0.000484283,0.01007242,0.00006356125,0.00001272307,0.00002779602,0.0001106514,0.00002111007,0.001627492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001410022,"threshold_uncertainty_score":0.004716933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275618929118868,"score_gpt":0.2247476797634694,"score_spread":0.2119914904722807,"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."}}