{"id":"W2753529077","doi":"10.1088/1361-6560/aa8b37","title":"Propagation of registration uncertainty during multi-fraction cervical cancer brachytherapy","year":2017,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Simon Fraser University; University of British Columbia","funders":"","keywords":"Image registration; Computer science; Context (archaeology); Brachytherapy; Segmentation; Radiation treatment planning; Artificial intelligence; Computer vision; Image segmentation; Medical physics; Radiation therapy; Image (mathematics); Medicine; Radiology","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":[0.00218926,0.0006768903,0.0005835854,0.0009174416,0.0005584217,0.001331583,0.0008469816,0.0006759682,0.0007769339],"category_scores_gemma":[0.00973581,0.0006680351,0.0007962195,0.0009601818,0.000764732,0.0008758803,0.001348618,0.001077284,0.0002396021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291061,"about_ca_system_score_gemma":0.000976275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003543943,"about_ca_topic_score_gemma":0.004013923,"domain_scores_codex":[0.9984379,0.0004643527,0.0001059943,0.0002525593,0.0006537186,0.00008546478],"domain_scores_gemma":[0.9956808,0.002466661,0.0009929785,0.0005512246,0.0002259369,0.0000822365],"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":[0.0008454536,0.000127606,0.01924712,0.0003108032,0.0001441171,0.0006790645,0.001782576,0.6559153,0.1352173,0.005210617,0.0007980995,0.1797219],"study_design_scores_gemma":[0.000032976,0.0004306096,0.02308927,0.00006980581,0.0001442359,0.00103434,0.000228493,0.7938966,0.1723729,0.004420779,0.004091044,0.0001889328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3268063,0.001239987,0.667576,0.0003215274,0.00007438283,0.0001432381,0.0001777856,0.0017857,0.001875159],"genre_scores_gemma":[0.8843315,0.0003039334,0.1136061,0.00007050807,0.000022493,0.0000699982,0.0001436706,0.0006452696,0.0008065597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003543943,"threshold_uncertainty_score":0.01157808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1228965241591089,"score_gpt":0.4330418664615455,"score_spread":0.3101453423024366,"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."}}