{"id":"W2994740372","doi":"10.1109/ultsym.2019.8925560","title":"Data-Driven Sensor Array Subsampling for Plane-Wave Ultrasound Imaging","year":2019,"lang":"en","type":"article","venue":"","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Ultrasound; Computer science; Ultrasound imaging; Ultrasonic imaging; Acoustics; Physics","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":[0.0005508061,0.0005028134,0.0003603679,0.0003180159,0.0002466883,0.0003555516,0.0006606798,0.0002561104,0.001374925],"category_scores_gemma":[0.002174566,0.0002857124,0.0002462084,0.0005508174,0.0004143102,0.0005197537,0.0006252019,0.0005039042,0.0004696292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004126102,"about_ca_system_score_gemma":0.0007239173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281669,"about_ca_topic_score_gemma":0.003644807,"domain_scores_codex":[0.9994209,0.0001296789,0.00003652451,0.0001141363,0.0002634396,0.00003536311],"domain_scores_gemma":[0.9993114,0.0002168751,0.00008159751,0.0001977989,0.000156055,0.00003624467],"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":[0.000692116,0.0002007635,0.002416605,0.0001411801,0.00007795712,0.0001012109,0.0002195191,0.03712913,0.6572492,0.01734934,0.002189486,0.2822335],"study_design_scores_gemma":[0.00004892597,0.0002720921,0.004164263,0.00001321856,0.0000298393,0.0002904068,0.00004884932,0.5172958,0.4589147,0.008046859,0.01079961,0.00007552795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02044188,0.00008201628,0.9783244,0.00005561054,0.00002528187,0.00004698924,0.0001171165,0.0003493468,0.0005574544],"genre_scores_gemma":[0.2011668,0.0001452324,0.7966306,0.00009824379,0.00003780775,0.000204835,0.0006211635,0.000150443,0.0009448919],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001374925,"threshold_uncertainty_score":0.004599571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02626220071377455,"score_gpt":0.2326611258851124,"score_spread":0.2063989251713379,"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."}}