{"id":"W3100906515","doi":"10.1109/tuffc.2020.3038622","title":"Fast 3-D Opto-Acoustic Simulation for Linear Array With Rectangular Elements","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transducer; Impulse response; Voxel; Acoustics; Computer science; Impulse (physics); Computation; Frame (networking); Physics; Algorithm; Computer vision; Mathematics; Mathematical analysis; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002913548,0.0004453612,0.0004312589,0.0002425957,0.0004221866,0.0006015552,0.0007066288,0.001226203,0.00400917],"category_scores_gemma":[0.001279408,0.0003604965,0.0005370523,0.000351836,0.0005997839,0.0005557132,0.0005754126,0.0005489138,0.0005188205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006920897,"about_ca_system_score_gemma":0.001034156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006733324,"about_ca_topic_score_gemma":0.005357776,"domain_scores_codex":[0.9998822,0.00002927961,0.000004973014,0.00001709373,0.00004878058,0.00001768868],"domain_scores_gemma":[0.9994009,0.0004273371,0.0000383213,0.00003525338,0.00006501003,0.00003318356],"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":[0.00002477763,0.00001578038,0.0003798613,0.00001736317,0.000006216611,0.00004591649,0.00004108406,0.9923168,0.002191203,0.002533224,0.0002508882,0.002176827],"study_design_scores_gemma":[0.000003693981,0.000004536279,0.00003548216,0.000001075049,9.605964e-7,0.000007003836,0.000006127666,0.9987024,0.0005164995,0.0004018449,0.0003185368,0.000001903233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.122251,0.0001609137,0.8602822,0.0004418978,0.00006141536,0.0001003767,0.0004974801,0.001263512,0.01494129],"genre_scores_gemma":[0.7166592,0.0003093513,0.2716342,0.0002152145,0.00002770677,0.000578589,0.0005950831,0.0003460854,0.009634528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006733324,"threshold_uncertainty_score":0.01341194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131255086950468,"score_gpt":0.2171896100786887,"score_spread":0.2058770592091841,"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."}}