{"id":"W4296963104","doi":"10.1002/mrm.29450","title":"The future of MRI in radiation therapy: Challenges and opportunities for the MR community","year":2022,"lang":"en","type":"review","venue":"Magnetic Resonance in Medicine","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto","funders":"Cancer Institute NSW; KWF Kankerbestrijding; National Cancer Institute; National Institutes of Health; Cancer Research UK; Royal Marsden NHS Foundation Trust","keywords":"Radiation therapy; Medical physics; Radiation treatment planning; Medicine; Radiological weapon; Cancer treatment; Image-guided radiation therapy; Radiation Therapist; Cancer; Computer science; Radiology; 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":[0.02164143,0.001011808,0.001605311,0.002111534,0.00194918,0.008396775,0.001868868,0.009213826,0.005926797],"category_scores_gemma":[0.01265771,0.0004716345,0.0008174466,0.001738104,0.007349343,0.01467854,0.004808589,0.0115807,0.003251409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00262673,"about_ca_system_score_gemma":0.008348476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001701761,"about_ca_topic_score_gemma":0.003126884,"domain_scores_codex":[0.9949782,0.002415402,0.0002778684,0.0003556038,0.001518491,0.000454379],"domain_scores_gemma":[0.9763476,0.01447195,0.0009017719,0.0007854514,0.004592934,0.002900157],"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":[0.0001780282,0.0002195152,0.00118577,0.00421181,0.00005520856,0.0004209393,0.001204147,0.0007262242,0.002963664,0.07600091,0.1802593,0.7325745],"study_design_scores_gemma":[0.00001826376,0.0002271073,0.0007931546,0.003127109,0.00003609874,0.001209456,0.001261854,0.0006480182,0.0008313192,0.05751888,0.9342377,0.00009098308],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008022843,0.7800905,0.003899704,0.2035996,0.005948347,0.00002016095,0.00003601651,0.0001263905,0.005476912],"genre_scores_gemma":[0.01546469,0.918171,0.01411449,0.03149965,0.01641119,0.00006833152,0.00007550521,0.0001237392,0.004071385],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02164143,"threshold_uncertainty_score":0.1144521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09286263302905634,"score_gpt":0.3522029858971366,"score_spread":0.2593403528680803,"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."}}