{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001799667,0.00111119,0.001187377,0.001913962,0.0006367851,0.001797168,0.001228696,0.002175307,0.03962685],"category_scores_gemma":[0.001798856,0.0005597947,0.0005529681,0.001389928,0.001317564,0.001561528,0.001863578,0.003498603,0.02386099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009757873,"about_ca_system_score_gemma":0.0008854471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000413193,"about_ca_topic_score_gemma":0.0007754114,"domain_scores_codex":[0.9986551,0.0003042571,0.00006852079,0.0002186336,0.0006842848,0.00006910814],"domain_scores_gemma":[0.9988633,0.0004571836,0.0001013247,0.0001805647,0.0002905348,0.0001070849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002978898,0.0002232049,0.0004769014,0.004760104,0.00006797705,0.0008662356,0.0003691246,0.001287721,0.2879775,0.08886352,0.09343202,0.5213777],"study_design_scores_gemma":[0.00005466478,0.0003158783,0.0005147335,0.0005313769,0.00004575719,0.002708472,0.00007696085,0.002465768,0.06059142,0.01575771,0.9168653,0.00007204488],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004201803,0.3549812,0.4651006,0.008701478,0.01053629,0.001096871,0.001381974,0.004781677,0.1492181],"genre_scores_gemma":[0.08786584,0.229074,0.5285047,0.00745877,0.005378779,0.002996475,0.002229959,0.00103663,0.1354548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03962685,"threshold_uncertainty_score":0.1325651,"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."}}