{"id":"W2059259518","doi":"10.1109/iembs.2011.6090935","title":"Towards an augmented ultrasound guided spinal needle insertion system","year":2011,"lang":"en","type":"article","venue":"","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Haptic technology; Computer science; Overlay; Computer vision; Finite element method; Computed tomography; Ultrasound; Simulation; Artificial intelligence; Engineering; Radiology; Medicine","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":[0.0003294544,0.0004043837,0.000335577,0.0001883201,0.0002158745,0.0007350004,0.001029866,0.0008785793,0.003666149],"category_scores_gemma":[0.0008446826,0.0002979957,0.000282788,0.0001204805,0.0002593889,0.0005433062,0.0009039617,0.0004465837,0.0009168792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001832205,"about_ca_system_score_gemma":0.0005043833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009506476,"about_ca_topic_score_gemma":0.0008160205,"domain_scores_codex":[0.9996768,0.00006843825,0.0000203785,0.00004024724,0.0001736029,0.00002044886],"domain_scores_gemma":[0.9996676,0.00007971624,0.00003551987,0.00004810869,0.000121218,0.00004779079],"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":[0.001095971,0.0003666807,0.003426079,0.0004232396,0.0001050697,0.001509284,0.0008530979,0.06190195,0.578033,0.006078084,0.004915027,0.3412926],"study_design_scores_gemma":[0.0001805995,0.002030578,0.003482756,0.00009019333,0.0001752966,0.002874848,0.00012979,0.8070751,0.1409582,0.001716066,0.04115415,0.0001324849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08854058,0.000294251,0.9021472,0.0002473957,0.00012485,0.0001451138,0.00009633631,0.005160169,0.003244004],"genre_scores_gemma":[0.5285795,0.0004238048,0.4610312,0.0002840495,0.00007746693,0.0002057248,0.0002555296,0.0001168773,0.009025986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003666149,"threshold_uncertainty_score":0.01226455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1155059408263391,"score_gpt":0.3319627387318034,"score_spread":0.2164567979054642,"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."}}