{"id":"W2107801697","doi":"10.1109/robot.2009.5152567","title":"Real-time positioning and tracking technique for endovascular untethered microrobots propelled by MRI gradients","year":2009,"lang":"en","type":"article","venue":"","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Tracking (education); Computer vision; Magnetic resonance imaging; Computer science; Artificial intelligence; Robot; Real-time MRI; Positioning system; Tracking system; Acoustics; Physics; Kalman filter; Radiology","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":[0.0001292297,0.0001483924,0.0001913741,0.00003706864,0.0001530178,0.00006030656,0.00008306628,0.00004453731,0.0001151406],"category_scores_gemma":[0.000001696139,0.0001299183,0.00009525757,0.00006953104,0.00002010367,0.00009326155,0.00001475773,0.00006626875,0.000009055982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001530186,"about_ca_system_score_gemma":0.00001573878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006726426,"about_ca_topic_score_gemma":4.552679e-7,"domain_scores_codex":[0.9992488,0.00002460989,0.0001818749,0.0002386098,0.00005937434,0.0002467064],"domain_scores_gemma":[0.9996561,0.00002548638,0.00006223643,0.0001412133,0.00005217666,0.00006283387],"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":[0.00001784907,0.0001070156,0.0003248386,0.000007934655,0.00004615275,5.219405e-7,0.00008796107,0.00001866938,0.9904479,0.002182759,0.002553733,0.004204682],"study_design_scores_gemma":[0.001494294,0.0001906659,0.0002672574,0.00007459828,0.00007140343,0.000005548608,0.00005925609,0.0005614383,0.9910977,0.004365363,0.001470604,0.0003418155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1719971,0.0002406873,0.8046013,0.000560875,0.00006368409,0.00288743,0.00007758065,0.0001643569,0.01940703],"genre_scores_gemma":[0.9299567,0.00002147955,0.0664206,0.00006871704,0.00009494674,0.00004709616,0.0001484884,0.0000295592,0.003212399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7579597,"threshold_uncertainty_score":0.5297915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006253357052975918,"score_gpt":0.2287798590933619,"score_spread":0.222526502040386,"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."}}