{"id":"W2015694048","doi":"10.1121/1.4805270","title":"Sound speed estimation in single cells using the ultrasound backscatter power spectrum","year":2013,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Acoustics; Backscatter (email); Speed of sound; Ultrasound; Sound power; Transducer; Attenuation; Ultrasonic sensor; Materials science; Wavelength; Optics; Spectral density; Suspension (topology); Scattering; Acoustic attenuation; Physics; Sound (geography); Computer science; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009687828,0.0004931206,0.0008521355,0.002077833,0.0002483868,0.0007092654,0.0004813457,0.0008050308,0.0008991007],"category_scores_gemma":[0.002423076,0.0004837232,0.000338202,0.001001704,0.0003885466,0.001051272,0.0003802271,0.0004283379,0.0005390279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002794402,"about_ca_system_score_gemma":0.0003051019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001227983,"about_ca_topic_score_gemma":0.00117643,"domain_scores_codex":[0.9996148,0.00005515082,0.00003903788,0.00009472234,0.0001639789,0.00003216397],"domain_scores_gemma":[0.9987026,0.000635067,0.0001139929,0.00008953574,0.0003980241,0.00006083349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002733663,0.00007513187,0.01284007,0.0001639209,0.00003098708,0.0001592023,0.0002181365,0.00835988,0.9281585,0.0005073198,0.0001606144,0.04905296],"study_design_scores_gemma":[0.00003363795,0.0005854502,0.03448356,0.00004522891,0.00009085904,0.0007014109,0.0003048322,0.2823659,0.677833,0.001519707,0.001935029,0.000101503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6150165,0.001057841,0.38176,0.00007153349,0.00005903813,0.00008046724,0.0002265016,0.0007037784,0.001024458],"genre_scores_gemma":[0.7638716,0.001385222,0.2330421,0.00005076692,0.00002868542,0.0001233194,0.000338826,0.0000895784,0.001069946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002077833,"threshold_uncertainty_score":0.005123496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097099974073675,"score_gpt":0.249117860566274,"score_spread":0.2381468608255373,"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."}}