{"id":"W2113690745","doi":"10.1109/ultsym.2009.5441765","title":"2D noninvasive acoustical image reconstruction of a static object through a simulated human skull bone","year":2009,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Imaging phantom; Ray tracing (physics); Reflector (photography); Skull; Computer science; Reflection (computer programming); Visualization; Acoustics; Distortion (music); Iterative reconstruction; Scattering; Optics; Computer vision; Artificial intelligence; Physics; Geology","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":[0.00008321646,0.0001513118,0.0002922808,0.0001077586,0.00004747265,0.00003254921,0.00007228005,0.00005464293,0.0002601566],"category_scores_gemma":[0.00003047503,0.0001451419,0.0001054833,0.0002327827,0.00005890095,0.0001254437,0.000009100354,0.0001441255,0.00003276893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004692956,"about_ca_system_score_gemma":0.00001034097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008804961,"about_ca_topic_score_gemma":0.000008881997,"domain_scores_codex":[0.9991364,0.00002304614,0.0003349608,0.0001696437,0.0001120034,0.0002239438],"domain_scores_gemma":[0.9995816,0.00004327143,0.0000404233,0.0002270158,0.00006064142,0.00004709258],"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":[0.000006315815,0.00004139606,0.00007126047,0.00007883191,0.000116472,0.00003160282,0.0006267471,0.0458175,0.9471007,0.00005358397,0.001160101,0.004895508],"study_design_scores_gemma":[0.0009941016,0.0001899378,0.0008999546,0.0001951124,0.0003152991,0.0002231901,0.0006108916,0.6794732,0.3137355,0.00270767,0.0000765688,0.0005785851],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8863218,0.00005154701,0.1055041,0.00009407887,0.00006186029,0.00007529889,0.000008421685,0.0003533063,0.007529552],"genre_scores_gemma":[0.9808953,0.00001835688,0.01879128,0.00006066402,0.00003093677,8.911206e-7,0.00001170197,0.00001753629,0.0001732693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6336557,"threshold_uncertainty_score":0.5918715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009096322321151906,"score_gpt":0.2431887392837269,"score_spread":0.234092416962575,"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."}}