{"id":"W2028122120","doi":"10.1118/1.4824326","title":"A 3D ultrasound scanning system for image guided liver interventions","year":2013,"lang":"en","type":"article","venue":"Medical Physics","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer vision; Artificial intelligence; 3D ultrasound; Medical imaging; Transducer; Ultrasound; Modality (human–computer interaction); Data acquisition; Medical physics; Biomedical engineering; Medicine; Acoustics; Radiology; Physics","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":[0.0004994982,0.0005950698,0.0003752345,0.0009287294,0.0002565178,0.0005246576,0.0007336634,0.000858186,0.007951471],"category_scores_gemma":[0.0009129812,0.0002900552,0.0004852051,0.0004976338,0.0003023801,0.0003899017,0.0008048966,0.0004323148,0.003571795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003810606,"about_ca_system_score_gemma":0.0006664241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005402495,"about_ca_topic_score_gemma":0.0006366122,"domain_scores_codex":[0.9993832,0.0001158291,0.00003870654,0.00009988199,0.0003404113,0.00002194045],"domain_scores_gemma":[0.9994123,0.0001148429,0.00007713738,0.0001373002,0.0002139987,0.0000444637],"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":[0.0004094007,0.0001095597,0.003320244,0.0005821845,0.00007604809,0.0005170227,0.0001705519,0.006359894,0.5441017,0.004125297,0.01602519,0.4242028],"study_design_scores_gemma":[0.000261429,0.002224616,0.02055136,0.0002499018,0.0003979545,0.009499393,0.00008096289,0.1719221,0.4262054,0.002741552,0.3655392,0.0003261584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03302269,0.002763378,0.9411749,0.0007008736,0.0004879094,0.0005898588,0.001007177,0.01044633,0.00980692],"genre_scores_gemma":[0.2689961,0.00155761,0.7145199,0.00126362,0.0002394361,0.0009273706,0.001610028,0.0003911009,0.01049489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007951471,"threshold_uncertainty_score":0.0266003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394846217853586,"score_gpt":0.2973503365327949,"score_spread":0.2734018743542591,"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."}}