{"id":"W2163765504","doi":"10.1109/ultsym.1997.663293","title":"Predicting acoustic response of a microbubble population for contrast imaging","year":2002,"lang":"en","type":"article","venue":"","topic":"Ultrasound and Cavitation Phenomena","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bubble; Microbubbles; Acoustics; Sound pressure; Waveform; Nonlinear acoustics; Beam (structure); Nonlinear system; Physics; Amplitude; Population; Harmonic; Contrast (vision); Time domain; Optics; Mechanics; Computer science; Ultrasound","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":[0.0003627751,0.00005218746,0.00008644853,0.00003840004,0.0000744499,0.0000317548,0.00005985525,0.00001376848,0.0005816222],"category_scores_gemma":[0.0002504643,0.0000463597,0.00002752708,0.00005700391,0.00002350605,0.0001481884,0.000007760206,0.00001543535,0.00001877779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002093258,"about_ca_system_score_gemma":0.000005648574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002820719,"about_ca_topic_score_gemma":0.000004470088,"domain_scores_codex":[0.9994349,0.00003726087,0.0001957021,0.0001176535,0.00008224562,0.0001322201],"domain_scores_gemma":[0.999417,0.000324193,0.00008361485,0.00008202889,0.00006554434,0.00002761011],"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":[0.0000766648,0.00002563508,0.004393398,0.00001695914,0.000001455888,1.198044e-7,0.0004022633,0.0002543423,0.9941726,0.000216087,0.0002290125,0.0002114644],"study_design_scores_gemma":[0.004528596,0.0003954184,0.08279144,0.0001535258,0.0001151004,0.00003645517,0.003904744,0.08602408,0.8151391,0.00535116,0.0009022946,0.0006581341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802557,0.00004937437,0.01862364,0.0001184631,0.0001215482,0.0001595417,0.00003720285,0.00005270683,0.0005818747],"genre_scores_gemma":[0.9948308,8.152193e-7,0.004356002,0.0000935295,0.00003422655,0.00001413816,0.000005780684,0.000007450742,0.000657219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1790335,"threshold_uncertainty_score":0.6368355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347768934708531,"score_gpt":0.2368066894335265,"score_spread":0.2233290000864412,"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."}}