{"id":"W3211448848","doi":"10.22215/etd/2014-10401","title":"Simulation of Ultrasound Computed Tomography in Diffraction Mode","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"University of Ottawa","keywords":"Computation; Tomography; Helmholtz equation; Diffraction tomography; Helmholtz free energy; Diffraction; Computer science; Computed tomography; Ultrasound; Algorithm; Resolution (logic); Iterative reconstruction; Mathematics; Computer vision; Artificial intelligence; Optics; Physics; Acoustics; Mathematical analysis; Radiology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002285241,0.0004464787,0.0005429252,0.0004266225,0.0004449507,0.001016655,0.0008281955,0.001392953,0.006814912],"category_scores_gemma":[0.001499731,0.0003446742,0.000623282,0.0004753896,0.0005677969,0.0005281085,0.0006756696,0.0005002336,0.0007371679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000565453,"about_ca_system_score_gemma":0.0009665235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01022841,"about_ca_topic_score_gemma":0.004681789,"domain_scores_codex":[0.999783,0.00005679806,0.00001005859,0.00002921568,0.00008458232,0.00003636539],"domain_scores_gemma":[0.9994937,0.0002636792,0.0000373325,0.00003578674,0.0001257624,0.00004369463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004465451,0.00002588255,0.0007108456,0.00004005336,0.000009865143,0.0001074783,0.00005067374,0.9834676,0.001584509,0.01000357,0.0009654675,0.002989377],"study_design_scores_gemma":[0.000009827855,0.000009511467,0.0001210041,0.0000071383,0.000002256652,0.0000280866,0.00001299838,0.996659,0.0004160693,0.001363385,0.001366016,0.000004608886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2777396,0.001570333,0.5505643,0.001636686,0.0005286995,0.0003426554,0.002736135,0.001506683,0.1633748],"genre_scores_gemma":[0.8762937,0.0007370998,0.08987612,0.0002488572,0.000056063,0.0002828173,0.001106948,0.000322812,0.03107554],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01022841,"threshold_uncertainty_score":0.02279818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01531339848778661,"score_gpt":0.3479763927470321,"score_spread":0.3326629942592454,"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."}}