{"id":"W2897907134","doi":"10.1088/1361-6560/aae7fd","title":"The radiobiological impact of motion tracking of liver, pancreas and kidney SBRT tumors in a MR-linac","year":2018,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Elekta","keywords":"Nuclear medicine; Medicine; Radiation treatment planning; Pancreas; Tracking (education); Pancreatic cancer; Linear particle accelerator; Kidney cancer; Radiology; Radiation therapy; Cancer; Beam (structure); Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002596195,0.00009421706,0.0002988498,0.00003727309,0.0000279043,0.000001368921,0.00007170192,0.00003949783,0.00001667609],"category_scores_gemma":[0.00003681824,0.00005136684,0.0000285724,0.0001200003,0.0007329674,0.00003425123,0.00002498724,0.000120252,5.269752e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001508498,"about_ca_system_score_gemma":0.00001922794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008534807,"about_ca_topic_score_gemma":0.000007874097,"domain_scores_codex":[0.9993973,0.00008457514,0.0002157463,0.0001386333,0.00002583699,0.0001379579],"domain_scores_gemma":[0.9995279,0.0001866066,0.0001213651,0.00009750562,0.00003614487,0.0000305297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001111633,0.0000863383,0.7029548,0.00001447448,0.00004049549,5.84852e-7,0.0006517736,0.000003200996,0.08595639,0.01991278,0.0000732296,0.1901947],"study_design_scores_gemma":[0.005209749,0.007712882,0.6499431,0.0007806518,0.00006125849,0.00001528113,0.0008254263,0.006698258,0.04610828,0.2806178,0.001483235,0.000544083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840179,0.0007217122,0.01472236,0.0001033566,0.00002497517,0.0001367199,0.00001066999,0.000005991854,0.000256284],"genre_scores_gemma":[0.9985443,0.0004916722,0.0006520262,0.00003335459,0.0002544747,0.000006817436,0.00001042549,0.000004459058,0.000002470178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.260705,"threshold_uncertainty_score":0.2700649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0912404233283285,"score_gpt":0.3999136798734485,"score_spread":0.30867325654512,"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."}}