{"id":"W2588812027","doi":"10.1007/978-1-4471-0765-1_24","title":"A Robot System for Medical Ultrasound","year":2000,"lang":"en","type":"book-chapter","venue":"","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer vision; Ultrasound; Artificial intelligence; Visual servoing; Teleoperation; Feature (linguistics); Robot; Computer science; Transducer; Carotid arteries; Ultrasonic sensor; Medicine; Acoustics; Radiology; Surgery; Physics","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":[0.0002490173,0.001165222,0.0005859092,0.0008071328,0.0004544918,0.0008727184,0.001087507,0.001240934,0.03348521],"category_scores_gemma":[0.0003495337,0.0005193383,0.0003888918,0.0006462726,0.0005468581,0.001361737,0.0009197662,0.0009622483,0.01961662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002818013,"about_ca_system_score_gemma":0.0005489609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005962424,"about_ca_topic_score_gemma":0.001142695,"domain_scores_codex":[0.9997579,0.0000231609,0.000009966652,0.00003811274,0.0001565155,0.000014345],"domain_scores_gemma":[0.9998671,0.000040212,0.000006562858,0.00002211225,0.0000499329,0.00001405389],"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":[0.00006926349,0.00005375928,0.0001451019,0.000524391,0.00002205998,0.0002179997,0.0001876705,0.002911524,0.05974351,0.0330042,0.103921,0.7991996],"study_design_scores_gemma":[0.00002576923,0.0002339274,0.0008167617,0.0002073569,0.00005141134,0.001797898,0.00005611516,0.01631808,0.02144282,0.01417906,0.9448026,0.00006818019],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003514567,0.01178881,0.8129582,0.0007454821,0.001812157,0.0002545693,0.0003974691,0.008748238,0.1597805],"genre_scores_gemma":[0.02824989,0.0107089,0.3868465,0.001034211,0.0005600023,0.0004005383,0.0009262162,0.001179157,0.5700945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03348521,"threshold_uncertainty_score":0.1120192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100990274665652,"score_gpt":0.2110739387140425,"score_spread":0.2000640359673859,"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."}}