{"id":"W3016046899","doi":"10.1088/2057-1976/ab872b","title":"Evaluation of inverse methods for estimation of mechanical parameters in solid tumors","year":2020,"lang":"en","type":"article","venue":"Biomedical Physics & Engineering Express","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Waterloo","funders":"","keywords":"Conjugate gradient method; Particle swarm optimization; Inverse; Estimation theory; Convergence (economics); Algorithm; Inverse problem; Mathematical optimization; Noise (video); Mathematics; Computer science; Statistics; Artificial intelligence; Mathematical analysis","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":[0.0007214923,0.00009968499,0.0003322706,0.00009200764,0.00000691037,0.000002939723,0.00007057714,0.00005782386,0.00000349757],"category_scores_gemma":[0.001297282,0.00009522324,0.0001105866,0.0003629238,0.00006022631,0.00005486208,0.00001797669,0.0001141002,4.897216e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002923346,"about_ca_system_score_gemma":0.00006959544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001240736,"about_ca_topic_score_gemma":1.874654e-8,"domain_scores_codex":[0.9989147,0.00004940395,0.0003261718,0.0001612025,0.0004058452,0.0001427379],"domain_scores_gemma":[0.9993151,0.0002310065,0.00008115177,0.0001229763,0.0001247582,0.0001249609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005503974,0.0001487804,0.00002488632,0.0003933334,0.00006631494,2.12975e-7,0.0004613659,0.04767849,0.9272617,0.0001562292,0.00007565532,0.023678],"study_design_scores_gemma":[0.001339056,0.0002396444,0.0002127523,0.000242454,0.000188407,0.000001073221,0.00004490801,0.9319476,0.06428093,0.0007866889,0.0006305755,0.00008594104],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2274365,0.00003522386,0.7720379,0.0001257274,0.00007863912,0.0002463942,0.000008484177,0.00002768184,0.000003459521],"genre_scores_gemma":[0.527263,0.000001622546,0.4726049,0.00002797658,0.00003695288,0.00002922658,0.00002517014,0.00001085506,2.386276e-7],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8842691,"threshold_uncertainty_score":0.3883091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04261495836837543,"score_gpt":0.3505363694071588,"score_spread":0.3079214110387833,"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."}}