{"id":"W2975664877","doi":"10.1016/j.ejca.2019.07.021","title":"The transformation of radiation oncology using real-time magnetic resonance guidance: A review","year":2019,"lang":"en","type":"review","venue":"European Journal of Cancer","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":182,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Princess Margaret Cancer Centre; University of Toronto","funders":"Division of Mathematical Sciences; National Institute of Dental and Craniofacial Research; Medical Research Council; Siemens Healthineers; National Cancer Institute; KWF Kankerbestrijding; National Institute for Health and Care Research; National Institutes of Health; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; Elekta; Roche; Merck; AstraZeneca; Varian Medical Systems; Cancer Research UK; National Science Foundation","keywords":"Radiation oncology; Transformation (genetics); Medical physics; Magnetic resonance imaging; Medicine; Oncology; Radiation therapy; Internal medicine; Radiology; Chemistry","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":[0.001084824,0.0009365125,0.001616067,0.00315732,0.0002770796,0.001480318,0.001261594,0.00162482,0.003325921],"category_scores_gemma":[0.001644828,0.0003660533,0.0007613073,0.002533848,0.0007557717,0.001898443,0.0008435418,0.001806405,0.001234947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007089303,"about_ca_system_score_gemma":0.001841633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001586237,"about_ca_topic_score_gemma":0.002745093,"domain_scores_codex":[0.999696,0.00005238438,0.00005786237,0.00006797597,0.0001033203,0.00002237586],"domain_scores_gemma":[0.9988838,0.0006683117,0.0001523328,0.00002129754,0.0002133115,0.00006105436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009926486,0.00009588059,0.0003408392,0.03525728,0.0001423077,0.0002698502,0.00007134297,0.000450008,0.001143125,0.002590234,0.02375608,0.9357839],"study_design_scores_gemma":[0.00004391951,0.0002093084,0.001910414,0.01353169,0.0004317468,0.003102925,0.0001393586,0.000223364,0.0004764294,0.002205963,0.9776718,0.00005305845],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005112612,0.9993985,0.00005985525,0.0001462555,0.0001101583,0.000002280394,0.000007526345,0.000002828612,0.0002215789],"genre_scores_gemma":[0.0003460772,0.999036,0.0001306704,0.0001687707,0.0001860284,0.000002805651,0.00001253016,8.507151e-7,0.0001162636],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003325921,"threshold_uncertainty_score":0.01112628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03098007322241044,"score_gpt":0.3769961308231414,"score_spread":0.346016057600731,"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."}}