{"id":"W3185599435","doi":"10.1109/tmrb.2021.3097123","title":"Extending Reach Inside the MRI Bore: A 7-DOF, Low-Friction, Hydrostatic Teleoperator","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Robotics and Bionics","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"CRC Robotics","funders":"","keywords":"Teleoperation; Imaging phantom; Overshoot (microwave communication); Hydrostatic equilibrium; Mechanism (biology); Computer science; Simulation; Robot; Biomedical engineering; Engineering; Physics; Artificial intelligence; Optics","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":[0.0003235848,0.0004550397,0.0003634866,0.0002457286,0.0002154755,0.0003384904,0.001062957,0.0006279758,0.003292701],"category_scores_gemma":[0.0008007559,0.0002936238,0.0002852695,0.00008401262,0.0003548016,0.0006367945,0.001145685,0.0004192243,0.0008553597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009765728,"about_ca_system_score_gemma":0.0003041658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002596663,"about_ca_topic_score_gemma":0.0003694376,"domain_scores_codex":[0.999709,0.00003877469,0.00001795349,0.00005487003,0.0001410291,0.00003840414],"domain_scores_gemma":[0.9995388,0.0001247605,0.00008853377,0.00006784677,0.00007022901,0.0001098803],"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":[0.0004596212,0.0001732827,0.001533278,0.0003701379,0.00002687753,0.0009080518,0.0005072307,0.002834945,0.8157416,0.0009810673,0.002017562,0.1744464],"study_design_scores_gemma":[0.0008043479,0.01218801,0.02935131,0.0004203432,0.0003487275,0.02595965,0.0004659716,0.1787164,0.6100746,0.002529865,0.1385643,0.0005764356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2275978,0.0009062294,0.7571532,0.0004027988,0.0001354486,0.0002899128,0.0001758541,0.006784724,0.006554039],"genre_scores_gemma":[0.7134541,0.0004373734,0.2755503,0.0004596989,0.00008737411,0.0002396786,0.0001906543,0.0002621624,0.009318816],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003292701,"threshold_uncertainty_score":0.01101524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008712759264998163,"score_gpt":0.2271834473958525,"score_spread":0.2184706881308544,"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."}}