{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002454745,0.0004478641,0.0002317001,0.0004359527,0.0001070627,0.0003883149,0.0002754282,0.0004620622,0.001513528],"category_scores_gemma":[0.0005322316,0.0003034779,0.0003139318,0.0002131721,0.0002590093,0.0003023046,0.0002725282,0.000258096,0.000320826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001592456,"about_ca_system_score_gemma":0.0004519295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001056938,"about_ca_topic_score_gemma":0.00117003,"domain_scores_codex":[0.9999197,0.00001554736,0.000003529037,0.00001127578,0.00004333631,0.000006538919],"domain_scores_gemma":[0.9998253,0.00008991431,0.00001734186,0.00002817249,0.0000279485,0.00001149972],"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":[0.000479839,0.0001035056,0.001490244,0.0002889978,0.00005906267,0.001065433,0.0004195897,0.1231903,0.7442068,0.003435574,0.0007808142,0.1244798],"study_design_scores_gemma":[0.00005418052,0.0002903648,0.004144966,0.00003094476,0.00005134313,0.003821565,0.0001172111,0.7840133,0.202086,0.001011999,0.004307003,0.00007124375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1478702,0.0002182673,0.849018,0.0001528852,0.00002458377,0.00005095397,0.0001303346,0.0008665984,0.001668089],"genre_scores_gemma":[0.444056,0.0004899998,0.5525379,0.00004323831,0.0000174019,0.0000739497,0.0001513817,0.00009783207,0.002532278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001513528,"threshold_uncertainty_score":0.005063295,"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."}}