{"id":"W2996092100","doi":"10.1109/ultsym.2019.8925872","title":"Efficient Angle Selection for Coherent Plane Wave Compounding","year":2019,"lang":"en","type":"article","venue":"","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Motors (Canada)","funders":"","keywords":"Compounding; Selection (genetic algorithm); Computer science; Plane (geometry); Physics; Optics; Artificial intelligence; Materials science; Mathematics; Geometry","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":[0.0004703503,0.0006977844,0.0007606872,0.000744689,0.0002889897,0.0005616067,0.0005999331,0.0004283344,0.001981308],"category_scores_gemma":[0.002310857,0.000314945,0.0003203542,0.0008655244,0.0003466404,0.000841038,0.0009991656,0.0004929916,0.001203968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001623722,"about_ca_system_score_gemma":0.0006051683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006349337,"about_ca_topic_score_gemma":0.001376182,"domain_scores_codex":[0.9994819,0.000110833,0.00003714515,0.0001047162,0.0002090937,0.00005635967],"domain_scores_gemma":[0.9992418,0.0002969656,0.0000894695,0.0001298223,0.0001981049,0.0000438451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005261927,0.0001890598,0.002136688,0.0001488899,0.0000546955,0.0001655581,0.0001661625,0.05216664,0.3045468,0.008101176,0.002850824,0.6289474],"study_design_scores_gemma":[0.00009651319,0.0002650707,0.001674183,0.00001242426,0.00003219723,0.0003292226,0.00008799668,0.8382263,0.1486425,0.004744087,0.005832504,0.00005699184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05784864,0.0002316356,0.9399471,0.00004451952,0.00001793623,0.00005180905,0.00008009197,0.0006158267,0.001162386],"genre_scores_gemma":[0.2182904,0.000205549,0.779442,0.00003769479,0.00002663874,0.0001035806,0.0005029694,0.00018814,0.001203103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001981308,"threshold_uncertainty_score":0.006628156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000460398789161,"score_gpt":0.1964844338160405,"score_spread":0.1864798298281489,"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."}}