{"id":"W3199064692","doi":"","title":"Improved artefact reduction in optical computed tomography based brachytherapy gel dosimetry using a dual catheter system","year":2018,"lang":"en","type":"article","venue":"Journal of Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Dosimetry; Brachytherapy; Computed tomography; Reduction (mathematics); Nuclear medicine; Medicine; Medical physics; Catheter; Dual (grammatical number); Radiology; Radiation therapy; Mathematics","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":[0.0007346363,0.000574061,0.0004146555,0.000582353,0.0002738015,0.001131483,0.0007856349,0.0008398444,0.00143966],"category_scores_gemma":[0.00170881,0.0005654004,0.0007086793,0.0005764686,0.0003592473,0.0006339659,0.0008224467,0.0006858681,0.0003126716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005286265,"about_ca_system_score_gemma":0.0006497763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007445524,"about_ca_topic_score_gemma":0.0007305605,"domain_scores_codex":[0.9993485,0.0001654293,0.00003999817,0.0001325475,0.0002663554,0.00004715862],"domain_scores_gemma":[0.9990669,0.0003354489,0.0001942366,0.000171545,0.0001702971,0.00006160732],"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":[0.001931924,0.0001202859,0.003186335,0.0003487564,0.000107906,0.0002221196,0.0003612428,0.009634961,0.9299573,0.001024102,0.0006998722,0.05240521],"study_design_scores_gemma":[0.0001313035,0.0008526181,0.01790906,0.00006310856,0.0004655142,0.002420025,0.00006741932,0.08687547,0.8846339,0.0003163047,0.006077772,0.0001875619],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4796908,0.00446244,0.5060518,0.0007381349,0.0002683383,0.0001675903,0.0002717724,0.002479733,0.005869332],"genre_scores_gemma":[0.8477854,0.0005813646,0.1483945,0.0002523745,0.00006341835,0.00005981212,0.0001331298,0.0006685148,0.002061453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00143966,"threshold_uncertainty_score":0.004816175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279707042100866,"score_gpt":0.2975889737332145,"score_spread":0.2847919033122059,"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."}}