{"id":"W2144397337","doi":"10.1109/ultsym.2007.298","title":"P0-1 High Resolution Fundamental and Harmonic Imaging Using a MEMS Fabricated Ultrasonic Transducer","year":2007,"lang":"en","type":"article","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"USA Dry Pea and Lentil Council; National Institutes of Health; Cleveland Clinic","keywords":"Transducer; Second-harmonic imaging microscopy; Ultrasonic sensor; Materials science; Bandwidth (computing); Intravascular ultrasound; Acoustics; Harmonic; Biomedical engineering; Center frequency; Optics; Computer science; Physics; Radiology; Second-harmonic generation; Band-pass filter; Engineering; Medicine; Telecommunications","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":[0.000313833,0.0002159001,0.0001826378,0.0001398645,0.0001334142,0.00006767383,0.00009061426,0.00005568065,0.0001551981],"category_scores_gemma":[0.00001221879,0.0002185241,0.00004880498,0.0002440791,0.00007941246,0.0002727423,0.00001447531,0.0002210522,0.00001121915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002688951,"about_ca_system_score_gemma":0.00002210409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000372024,"about_ca_topic_score_gemma":0.00001929592,"domain_scores_codex":[0.9986924,0.00001024192,0.0002792753,0.0002531371,0.0001726008,0.0005923522],"domain_scores_gemma":[0.9995854,0.00007960556,0.00002613572,0.0001489644,0.00002343818,0.0001364544],"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":[0.00001898107,0.00002751144,0.002008396,0.00005220803,0.00005897722,0.00002926157,0.0004969551,0.002740454,0.9843799,0.0001410373,0.0002437716,0.009802538],"study_design_scores_gemma":[0.001839217,0.00002475314,0.02724672,0.0001152801,0.0001659374,0.0005355706,0.0015855,0.7670775,0.1990981,0.0002182111,0.001217302,0.0008759256],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7064578,0.000921071,0.2897156,0.00004157284,0.000248687,0.0001375014,0.000008119707,0.0004138344,0.002055788],"genre_scores_gemma":[0.9953243,0.00008196163,0.004279411,0.0000964021,0.00008012981,0.000003273812,0.00001145778,0.00004951332,0.00007358174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7852818,"threshold_uncertainty_score":0.8911152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076152435617538,"score_gpt":0.2225527618661982,"score_spread":0.2117912375100228,"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."}}