{"id":"W2944620744","doi":"10.1109/ismr.2019.8710206","title":"An Admittance-Controlled Robotic Assistant for Semi-Autonomous Breast Ultrasound Scanning","year":2019,"lang":"en","type":"article","venue":"","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Imaging phantom; Computer vision; Repeatability; Computer science; Ultrasound; Artificial intelligence; Biomedical engineering; Image quality; Robot; Fiducial marker; Medicine; Radiology; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004048045,0.0005487781,0.0002703716,0.0002724402,0.0002473718,0.000402123,0.001270205,0.000480646,0.003411749],"category_scores_gemma":[0.001017206,0.0002186507,0.0002125227,0.0001173836,0.0003294846,0.0003376974,0.0007023431,0.0003436553,0.0007589947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001361069,"about_ca_system_score_gemma":0.000474557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007245888,"about_ca_topic_score_gemma":0.0008122912,"domain_scores_codex":[0.9995733,0.0000594466,0.00002202148,0.00008753956,0.0002288019,0.00002886],"domain_scores_gemma":[0.9993783,0.0001645075,0.0001288181,0.00009556799,0.0001636538,0.00006909457],"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":[0.0009868101,0.0003288375,0.001793687,0.000554289,0.00004033283,0.001159779,0.000668219,0.007036723,0.6825813,0.001611365,0.003050268,0.3001884],"study_design_scores_gemma":[0.0007467229,0.01127802,0.02119515,0.0001257919,0.0002113583,0.01281968,0.0003260417,0.3282138,0.5295895,0.002155588,0.09298969,0.0003485781],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2162102,0.0004113842,0.7657251,0.0001724097,0.0002079722,0.0005401389,0.0001307804,0.01096415,0.005637872],"genre_scores_gemma":[0.8407702,0.0001601059,0.1465328,0.0001773462,0.00007910078,0.0002866189,0.0001302598,0.0001528152,0.01171083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003411749,"threshold_uncertainty_score":0.0114134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006935346911814144,"score_gpt":0.226547066130065,"score_spread":0.2196117192182509,"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."}}