{"id":"W2742858903","doi":"10.1088/1361-6560/aa84d7","title":"Megahertz rate, volumetric imaging of bubble clouds in sonothrombolysis using a sparse hemispherical receiver array","year":2017,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Microbubbles; Bubble; Frame rate; Biomedical engineering; Cavitation; Aperture (computer memory); Limiting; Ultrasound; Thrombolysis; Focused ultrasound; Materials science; Acoustics; Computer science; Optics; Medicine; Physics; Computer vision; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002557305,0.0001792078,0.0002158,0.0002274915,0.00007629591,0.0002405229,0.0002215439,0.0002991109,0.0005666037],"category_scores_gemma":[0.0003914808,0.0001937332,0.00009908203,0.0001674826,0.0001873626,0.0002705408,0.0002295122,0.0002505983,0.0001548853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001907844,"about_ca_system_score_gemma":0.0001466898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005274839,"about_ca_topic_score_gemma":0.0008448272,"domain_scores_codex":[0.9998955,0.00001907864,0.000004288624,0.00002097214,0.00004505892,0.00001517091],"domain_scores_gemma":[0.9998086,0.00007788603,0.00004940969,0.00001590786,0.00003063464,0.00001750526],"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":[0.00004700586,0.000007338074,0.0002116336,0.00001763808,0.000002344242,0.00003235735,0.00001583075,0.0003282776,0.9963022,0.00005578779,0.00002930299,0.002950151],"study_design_scores_gemma":[0.00001226242,0.0003894176,0.00800764,0.000006738811,0.00001908031,0.0004543764,0.0000374304,0.02396519,0.9656628,0.0000951319,0.001333099,0.00001677513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.868398,0.001296398,0.1278818,0.0001516607,0.00002577906,0.00006488225,0.000161757,0.0003481916,0.001671533],"genre_scores_gemma":[0.8894592,0.0008790072,0.107268,0.00007722552,0.000032702,0.00008112608,0.0001467287,0.00004876753,0.002007248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005666037,"threshold_uncertainty_score":0.001895487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1408800534446009,"score_gpt":0.3522404709114264,"score_spread":0.2113604174668254,"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."}}