{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002424181,0.0001531611,0.0002988078,0.00005613679,0.0001327596,0.00005489044,0.0001272169,0.00008022731,0.0002513597],"category_scores_gemma":[0.0005524355,0.000122962,0.0003919587,0.0002125898,0.0002084609,0.0001516616,0.00002788089,0.0002431092,0.0002941032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000559038,"about_ca_system_score_gemma":0.00007559401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001580514,"about_ca_topic_score_gemma":0.000001784715,"domain_scores_codex":[0.9986555,0.00002650765,0.0003220394,0.0002426622,0.0004206962,0.000332618],"domain_scores_gemma":[0.998835,0.0002701784,0.00007642133,0.0002603026,0.0002278126,0.0003302505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002062562,0.004589461,0.03831276,0.01943356,0.002500348,0.0001152114,0.004718834,0.00001290811,0.08096892,0.008268016,0.5940562,0.2468175],"study_design_scores_gemma":[0.07693466,0.009529072,0.1834265,0.08695196,0.01272723,0.01133765,0.01558657,0.07668407,0.06690057,0.0247968,0.425659,0.009465931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2380423,0.0005529943,0.7485522,0.001580722,0.0008333085,0.001193203,0.00002856551,0.0005068079,0.00870997],"genre_scores_gemma":[0.9845102,0.00001512748,0.01285148,0.000668108,0.0008970798,0.0002006821,0.00008396191,0.00003936074,0.0007340336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7464679,"threshold_uncertainty_score":0.5014244,"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."}}