{"id":"W4312085345","doi":"10.1016/j.actbio.2022.12.014","title":"High-frequency quantitative ultrasound for the assessment of the acoustic properties of engineered tissues in vitro","year":2022,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; St. Michael's Hospital; University of Toronto; Toronto Metropolitan University; Ted Rogers Centre for Heart Research; Sunnybrook Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Materials science; Attenuation; Acoustic attenuation; Acoustic impedance; Acoustic microscopy; Acoustics; Ultrasound; Transducer; Biomedical engineering; Self-healing hydrogels; Acoustic wave; Ultrasonic sensor; Optics; Microscopy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000303618,0.0001106355,0.0002588571,0.00009088494,0.0001057643,0.00001400615,0.0002034531,0.00002349566,0.00005466606],"category_scores_gemma":[0.0001567756,0.00006057631,0.00009012545,0.0002928005,0.0001702538,0.00004214171,0.00004422636,0.00006414072,2.458654e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004467932,"about_ca_system_score_gemma":0.00008244738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006887364,"about_ca_topic_score_gemma":0.000009101645,"domain_scores_codex":[0.9990912,0.00008690998,0.0002996139,0.0001329657,0.0002271872,0.0001621122],"domain_scores_gemma":[0.9993219,0.0001595288,0.0001418419,0.00029101,0.00006784479,0.00001790171],"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":[0.0002047093,0.0001386423,0.001768774,0.0001792006,0.0001140652,2.905991e-7,0.001135075,0.00003704529,0.9960158,0.0001644866,0.0002216691,0.00002021083],"study_design_scores_gemma":[0.001206192,0.0004314628,0.04304799,0.0001103125,0.0002202533,0.00002250338,0.002235173,0.0001408809,0.9512858,0.0001599647,0.001021281,0.0001182041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966482,0.0002408342,0.0002215226,0.0008334828,0.001164803,0.0006172807,0.000238986,0.00001913691,0.00001577528],"genre_scores_gemma":[0.9966199,0.0000170711,0.003011926,0.00004410917,0.00003552366,0.0001631364,0.00003201084,0.00001735608,0.00005895572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04473004,"threshold_uncertainty_score":0.247023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0198173347322279,"score_gpt":0.2765890646016102,"score_spread":0.2567717298693823,"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."}}