{"id":"W2898356960","doi":"10.1088/1361-6560/aaebcf","title":"MRI-guidance for motion management in external beam radiotherapy: current status and future challenges","year":2018,"lang":"en","type":"review","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Stand Up To Cancer; National Health and Medical Research Council; Cancer Research UK; University of Alberta","keywords":"Radiation therapy; Magnetic resonance imaging; Radiation treatment planning; Medical physics; External beam radiotherapy; Medicine; Modality (human–computer interaction); Computer science; Radiology; Artificial intelligence; Brachytherapy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002310825,0.0003272815,0.00101183,0.0001373999,0.00003160878,0.000005381584,0.0001244325,0.0001024586,0.00001042401],"category_scores_gemma":[0.000001434002,0.0002333111,0.00006818664,0.0001115394,0.0001941039,0.00004666415,0.00004024522,0.0002642696,1.496214e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005811629,"about_ca_system_score_gemma":0.00001703466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001579106,"about_ca_topic_score_gemma":0.000002045339,"domain_scores_codex":[0.9987056,0.0000841093,0.0003748516,0.0004839198,0.00004761293,0.00030393],"domain_scores_gemma":[0.9994102,0.00009647503,0.000228964,0.0001974135,0.00002162797,0.00004532129],"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":[0.000009013537,0.00005329488,0.0002256546,0.002402495,0.00006381464,3.510275e-7,0.0001553795,1.725959e-7,0.000002185554,0.03648883,0.00007575686,0.9605231],"study_design_scores_gemma":[0.000727973,0.000221693,0.000046231,0.00370865,0.00006220135,9.133263e-7,0.00005315482,0.00002967065,0.000001813002,0.03366422,0.9612597,0.0002237408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001646833,0.9134795,0.08512098,0.00008678623,0.00028463,0.0008643021,0.00002838783,0.00001464431,0.0001042861],"genre_scores_gemma":[0.00001560259,0.9876962,0.0081901,0.00002506659,0.003569486,0.0003752227,0.00008814876,0.00003061586,0.000009511993],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.961184,"threshold_uncertainty_score":0.9514149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1497891887569776,"score_gpt":0.4460931308374884,"score_spread":0.2963039420805108,"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."}}