{"id":"W2098832113","doi":"10.1098/rsfs.2011.0037","title":"Micro-ultrasound for preclinical imaging","year":2011,"lang":"en","type":"article","venue":"Interface Focus","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Mount Sinai Hospital; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Terry Fox Foundation","keywords":"Computer science; High frequency ultrasound; Ultrasound imaging; Ultrasound; Focused ultrasound; Data science; Medical physics; Medicine; Radiology","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":[0.000190479,0.0001610907,0.0002425446,0.00009921435,0.00006337256,0.00002611945,0.0001281878,0.00005617053,0.0003341509],"category_scores_gemma":[0.0002863369,0.0001377624,0.0002287239,0.0001045985,0.0001535711,0.00009079967,0.00001855965,0.0002055342,0.0001527315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002005673,"about_ca_system_score_gemma":0.00003501521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007882849,"about_ca_topic_score_gemma":0.000005281582,"domain_scores_codex":[0.9989421,0.00001916469,0.0002805057,0.0003171775,0.000100671,0.0003403905],"domain_scores_gemma":[0.9991358,0.0002329952,0.00006376698,0.0003108466,0.0001105307,0.0001460842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001808715,0.0009707767,0.2315741,0.0001379099,0.0004025495,0.000009470904,0.00437646,6.445239e-7,0.6914125,0.0002140825,0.0316236,0.03746922],"study_design_scores_gemma":[0.003656703,0.001051727,0.02345323,0.0003271512,0.0003985519,0.0008162072,0.0009751517,0.00002819574,0.403234,0.003422184,0.5621219,0.0005149206],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8200392,0.007380991,0.1132277,0.001580366,0.001438087,0.0009651083,0.00005168417,0.000503959,0.05481299],"genre_scores_gemma":[0.9594807,0.00002251625,0.03874763,0.0001627609,0.0001573649,0.00003537237,0.000002788548,0.00003888991,0.00135197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5304983,"threshold_uncertainty_score":0.5617788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03434961683940307,"score_gpt":0.3156603276778683,"score_spread":0.2813107108384653,"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."}}