{"id":"W4256429819","doi":"10.1121/1.4800014","title":"A method to validate quantitative high-frequency power Doppler ultrasound with fluorescence in vivo video microscopy","year":2013,"lang":"en","type":"article","venue":"Proceedings of meetings on acoustics","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Biomedical engineering; Ultrasound; Doppler effect; Imaging phantom; Materials science; Vascularity; Ultrasonic sensor; Flow velocity; Optics; Acoustics; Flow (mathematics); Physics; Medicine; Radiology","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":[0.006119599,0.001348413,0.0006263616,0.002469901,0.001003234,0.001180083,0.001436916,0.001531304,0.002404391],"category_scores_gemma":[0.005207107,0.0006608183,0.0005724205,0.001042203,0.00128566,0.0009527054,0.001144982,0.001431033,0.001182496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132862,"about_ca_system_score_gemma":0.001555639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002517473,"about_ca_topic_score_gemma":0.002588671,"domain_scores_codex":[0.9962187,0.001155433,0.0002601935,0.000770453,0.001362383,0.0002328108],"domain_scores_gemma":[0.9951569,0.001714192,0.0007219607,0.0009503221,0.001285264,0.000171307],"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":[0.00009120438,0.0001360491,0.001357824,0.0001575449,0.00001870365,0.00004520912,0.0000827928,0.0005916746,0.9756169,0.001879093,0.0004534377,0.01956945],"study_design_scores_gemma":[0.00004893114,0.0006474733,0.007223317,0.00004639436,0.00005302436,0.0005901285,0.00005714795,0.02102391,0.9593583,0.0007543066,0.01014402,0.00005299372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04078454,0.0005577139,0.9546549,0.0001291249,0.0001227091,0.0005757008,0.0002416273,0.001318299,0.001615359],"genre_scores_gemma":[0.1393362,0.0008067404,0.8539862,0.0001727941,0.00006877891,0.002853818,0.0005296998,0.0003641134,0.001881775],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006119599,"threshold_uncertainty_score":0.03236389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008428140787437791,"score_gpt":0.2755922525723573,"score_spread":0.2671641117849194,"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."}}