{"id":"W2161006934","doi":"10.1109/robot.2000.844822","title":"Motion/force/image control of a diagnostic ultrasound robot","year":2002,"lang":"en","type":"article","venue":"","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Controller (irrigation); Sonographer; Robot; Motion control; Feature (linguistics); Computer science; Torque; Trajectory; Control theory (sociology); Servomotor; Position (finance); Control system; Robot end effector; DC motor; Robot control; Artificial intelligence; Computer vision; Engineering; Control (management); Ultrasound; Mobile robot; Acoustics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002321517,0.00006288551,0.00008823186,0.00002575013,0.00002118316,0.00001208439,0.00006628757,0.00002745765,0.0008260549],"category_scores_gemma":[0.0001116606,0.00005978408,0.00003477347,0.0000910534,0.00002153445,0.0000394268,0.000003524856,0.0000435915,0.0001782852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001018673,"about_ca_system_score_gemma":8.753602e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006378486,"about_ca_topic_score_gemma":0.000002949751,"domain_scores_codex":[0.9996408,0.000003150542,0.0001289312,0.00006401232,0.00005888929,0.0001042827],"domain_scores_gemma":[0.9993158,0.0004583414,0.00001235419,0.0001511824,0.00002336813,0.00003892655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001101903,0.0002393608,0.005003968,0.0001020808,0.0001335226,0.000003409233,0.000298435,0.786193,0.1535386,0.02886363,0.01873011,0.006892844],"study_design_scores_gemma":[0.001467857,0.0000493816,0.02512066,0.00003172457,0.00009964684,0.00001990375,0.00008330381,0.9412724,0.0248148,0.003145094,0.003414712,0.0004805028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01324949,0.0002465629,0.9598781,0.0001575114,0.00006648066,0.0001768546,0.00001449928,0.0002286113,0.02598184],"genre_scores_gemma":[0.9962006,0.00009789947,0.003155819,0.00003322559,0.00003446236,0.00002635836,0.000003411471,0.00001354968,0.0004346793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9829511,"threshold_uncertainty_score":0.9044722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008040525425000637,"score_gpt":0.1883377524488498,"score_spread":0.1802972270238492,"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."}}