{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003588822,0.0004456789,0.0002688694,0.0002329608,0.0002603269,0.000403737,0.0005398842,0.0004323837,0.001701818],"category_scores_gemma":[0.0005989291,0.0002003421,0.0001693918,0.00006889013,0.0003452438,0.0001977329,0.000379091,0.0002403931,0.0003257022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002345196,"about_ca_system_score_gemma":0.0003939115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001108069,"about_ca_topic_score_gemma":0.0008693173,"domain_scores_codex":[0.9997745,0.00003385773,0.00001663715,0.00005081107,0.00009519682,0.00002895776],"domain_scores_gemma":[0.9997324,0.00006333653,0.00006759781,0.00002716609,0.00007160521,0.0000378601],"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":[0.001034856,0.0001407983,0.001263022,0.0002291633,0.00003368384,0.00066413,0.0002868402,0.05116102,0.7470666,0.006777304,0.001128276,0.1902144],"study_design_scores_gemma":[0.0003336222,0.002849406,0.005869028,0.00005995298,0.0001004976,0.001334409,0.00005665385,0.7158033,0.2480508,0.0024029,0.02301988,0.0001195491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2034905,0.0004593349,0.7854381,0.0003207535,0.000233407,0.000230224,0.00005378118,0.00143802,0.00833594],"genre_scores_gemma":[0.8998266,0.0001244695,0.09498204,0.0001132331,0.00003919611,0.0001393875,0.0000402673,0.00002443216,0.004710333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001701818,"threshold_uncertainty_score":0.005693197,"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."}}