{"id":"W2290034687","doi":"10.1016/j.brachy.2015.12.004","title":"Lessons learned using an MRI-only workflow during high-dose-rate brachytherapy for prostate cancer","year":2016,"lang":"en","type":"article","venue":"Brachytherapy","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Centre Hospitalier de l’Université de Montréal; University Health Network","funders":"","keywords":"Medicine; Brachytherapy; Prostate cancer; Genitourinary system; Radiation treatment planning; Catheter; Prostate; Radiology; Prostate brachytherapy; External beam radiotherapy; Radiation therapy; Cancer; Nuclear medicine; Surgery; Internal 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":[0.02057091,0.0007932331,0.0005354597,0.0007003736,0.001512429,0.004606482,0.004638842,0.002821205,0.005679096],"category_scores_gemma":[0.04010551,0.0005621837,0.0007087134,0.0005507767,0.002158676,0.0046176,0.002135154,0.005097603,0.00230665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002563802,"about_ca_system_score_gemma":0.008344868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01310897,"about_ca_topic_score_gemma":0.02599378,"domain_scores_codex":[0.9914484,0.004012117,0.0005968436,0.0009472468,0.002369505,0.0006258997],"domain_scores_gemma":[0.9701654,0.01212841,0.001386786,0.002923585,0.01014428,0.003251581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007160606,0.001271322,0.02046954,0.00375009,0.000192003,0.002911848,0.01017752,0.01000061,0.01509512,0.007073731,0.05145331,0.8768888],"study_design_scores_gemma":[0.0008530985,0.004753557,0.06782023,0.01060952,0.0008196832,0.03318106,0.04551143,0.05928474,0.05726923,0.06677918,0.6516114,0.001506827],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1966068,0.04142572,0.382377,0.2947834,0.01429271,0.001277957,0.0006407534,0.005199297,0.06339629],"genre_scores_gemma":[0.486025,0.01890413,0.4601401,0.01879748,0.003387262,0.0004686127,0.0003281408,0.001421683,0.01052756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02057091,"threshold_uncertainty_score":0.1087906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06022602295143754,"score_gpt":0.3574482283487329,"score_spread":0.2972222053972954,"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."}}