{"id":"W2803862434","doi":"10.4018/978-1-5225-2993-4.ch008","title":"Brachytherapy Needle Steering Guidance Using Image Overlay","year":2018,"lang":"en","type":"book-chapter","venue":"Advances in computational intelligence and robotics book series","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Imaging phantom; Overlay; Brachytherapy; Deflection (physics); Orientation (vector space); Computer science; Prostate brachytherapy; Computer vision; Process (computing); Biomedical engineering; Engineering; Nuclear medicine; Medicine; Radiology; Physics; Optics; Radiation therapy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006967969,0.0003547694,0.0003346322,0.0001473364,0.0001280242,0.00008397278,0.0001807461,0.000157391,0.0001241365],"category_scores_gemma":[0.000008307659,0.0003941676,0.00006084541,0.00006956123,0.0003244907,0.0007680755,0.00006263063,0.0002675612,0.00003681014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009215243,"about_ca_system_score_gemma":0.0000390532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002298044,"about_ca_topic_score_gemma":0.00002094941,"domain_scores_codex":[0.9987364,0.000005340486,0.0004888486,0.0003286625,0.0002030453,0.0002376353],"domain_scores_gemma":[0.9993308,0.0001581161,0.0001098433,0.0001964191,0.0001382744,0.00006652524],"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":[0.000005082419,0.000005599044,0.00001237946,0.00009224766,0.00002360367,0.000005721211,0.0001434334,0.8486313,0.00002139517,0.1488153,0.00006907666,0.002174879],"study_design_scores_gemma":[0.0000847771,0.0000764557,0.00002675678,0.0006227419,0.00002910225,0.00005719278,0.00007670431,0.5844133,0.0002761768,0.324588,0.08895256,0.0007962471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004648011,0.03969553,0.9111296,0.00009601189,0.0005762761,0.0003251141,0.00004560894,0.0001843794,0.04790103],"genre_scores_gemma":[0.01163846,0.09995468,0.8390756,0.00049334,0.001222318,0.00005375332,0.0001991064,0.0004359929,0.04692681],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2642179,"threshold_uncertainty_score":0.999851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101903011286958,"score_gpt":0.2756061638936403,"score_spread":0.2545871337807707,"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."}}