{"id":"W2125793808","doi":"10.1109/robot.2007.363657","title":"Needle Insertion Point and Orientation Optimization in Non-linear Tissue with Application to Brachytherapy","year":2007,"lang":"en","type":"article","venue":"Proceedings - IEEE International Conference on Robotics and Automation/Proceedings","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Brachytherapy; Prostate brachytherapy; Line (geometry); Point (geometry); Rotation (mathematics); Computer science; Finite element method; Orientation (vector space); Compressibility; Algorithm; Computer vision; Mathematics; Geometry; Physics; Mechanics; Surgery; Engineering; Structural engineering","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":[0.0004073201,0.0005690638,0.0005690915,0.0003597836,0.0002286769,0.0004325645,0.0005413141,0.0005097089,0.0006436046],"category_scores_gemma":[0.001115358,0.0004780158,0.0005199163,0.0003489714,0.0004513877,0.0003795761,0.0003935653,0.0004122421,0.000259541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006255118,"about_ca_system_score_gemma":0.0005779234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002097512,"about_ca_topic_score_gemma":0.002653745,"domain_scores_codex":[0.9997272,0.00005695257,0.00001056335,0.00004267735,0.0001425553,0.00001999267],"domain_scores_gemma":[0.9996365,0.0001839781,0.00006935837,0.00002573181,0.00006739533,0.0000169106],"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":[0.00003850048,0.0000304815,0.000441792,0.00007622362,0.00001749584,0.00007022698,0.00006594151,0.9249573,0.02487706,0.00230821,0.0001906422,0.04692616],"study_design_scores_gemma":[0.000007685186,0.0000497461,0.0002595563,0.000004672632,0.000006285928,0.00005949623,0.000007460133,0.9913843,0.006784822,0.0005915364,0.0008320039,0.00001246962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02345292,0.000404806,0.9747475,0.00005588878,0.00001547813,0.00002197171,0.00001057731,0.0002271096,0.001063746],"genre_scores_gemma":[0.4405368,0.0006027121,0.5557539,0.00005053724,0.0000226309,0.00007143291,0.00004509271,0.0002292634,0.002687634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002097512,"threshold_uncertainty_score":0.004538357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488449357164882,"score_gpt":0.2731453046132353,"score_spread":0.2582608110415864,"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."}}