{"id":"W2525174472","doi":"10.1121/1.4962502","title":"Coherent and incoherent ultrasound backscatter from cell aggregates","year":2016,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; Agence Nationale de la Recherche","keywords":"Backscatter (email); Scattering; Amplitude; Physics; Incoherent scatter; Gaussian; Optics; Norm (philosophy); Computational physics; Computer science; Quantum mechanics; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.000247079,0.0001341755,0.0003234035,0.00001450853,0.00009844866,0.00001193359,0.0002388599,0.0000487928,0.0002009869],"category_scores_gemma":[0.0001460131,0.00004975639,0.0003608324,0.0001264848,0.001009384,0.00005147787,0.00007125254,0.0003009589,0.000007316988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003469412,"about_ca_system_score_gemma":0.00004889016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006899788,"about_ca_topic_score_gemma":3.648255e-7,"domain_scores_codex":[0.9989025,0.00009435511,0.0003399042,0.00009069969,0.0003772289,0.0001953259],"domain_scores_gemma":[0.9977171,0.001391454,0.0003634589,0.0002666145,0.0001314643,0.0001298424],"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":[0.0003963064,0.0003936303,0.03801053,0.00006146424,0.0006162503,7.456808e-7,0.001692557,0.00002681484,0.8630379,5.447421e-7,0.06885722,0.02690605],"study_design_scores_gemma":[0.02058397,0.006991133,0.5807368,0.006180301,0.01299384,0.002249529,0.02805963,0.002657177,0.151861,0.01154734,0.1745076,0.001631689],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.912867,0.002314593,0.0628766,0.02123044,0.0002590561,0.0001712034,0.00002791654,0.000012627,0.0002405751],"genre_scores_gemma":[0.9786124,0.002143667,0.01643969,0.002360862,0.000224099,7.183681e-7,4.226912e-7,0.0000154069,0.0002027359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7111769,"threshold_uncertainty_score":0.3719118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006697784050794758,"score_gpt":0.2256264176356696,"score_spread":0.2189286335848748,"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."}}