{"id":"W2036424832","doi":"10.1109/tmech.2014.2341657","title":"A Pneumatically Actuated Target Stabilization Device for MRI-Guided Breast Biopsy","year":2014,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetic resonance imaging; Biomedical engineering; Actuator; Computer science; Materials science; Biopsy; Pneumatic actuator; Chicken breast; Magnet; Breast biopsy; Radiology; Medicine; Artificial intelligence; Mammography; Breast cancer; Mechanical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002831364,0.0003165728,0.0002911648,0.0002264153,0.0002309233,0.00007823632,0.000288407,0.000223416,0.0002477438],"category_scores_gemma":[0.00001851101,0.0003336711,0.0002054304,0.000695287,0.00005954793,0.0002264638,0.000001874264,0.0003185328,0.000160672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649019,"about_ca_system_score_gemma":0.00006510785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007052051,"about_ca_topic_score_gemma":0.00003541461,"domain_scores_codex":[0.9983192,0.00004819308,0.000479369,0.0003740444,0.0002682137,0.0005109751],"domain_scores_gemma":[0.9986688,0.0002862548,0.00005508242,0.0005748548,0.000206458,0.0002085318],"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":[0.00006793536,0.0005114534,0.00001646371,0.0003820752,0.0002724491,4.095623e-7,0.0002683343,0.8896386,0.04723319,0.03816371,0.0004354699,0.02300992],"study_design_scores_gemma":[0.0009030682,0.0001790117,0.00005660454,0.0000545104,0.0001536333,0.00001967823,0.00006841138,0.9651431,0.01899144,0.009969627,0.003887107,0.0005737802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01586233,0.00001983067,0.9805549,0.0005169977,0.0003088165,0.0009296347,0.0002715454,0.0009758599,0.000560093],"genre_scores_gemma":[0.9041061,0.00003304441,0.09485158,0.00006385308,0.00005191447,0.0006774941,0.00006646982,0.0000990495,0.00005042667],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8882439,"threshold_uncertainty_score":0.9999115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137385626602968,"score_gpt":0.2387171170273966,"score_spread":0.2249785543670998,"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."}}