{"id":"W2138634570","doi":"10.1118/1.3475942","title":"Lung dosimetry in a linac‐MRI radiotherapy unit with a longitudinal magnetic field","year":2010,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Lethbridge","funders":"Alberta Cancer Foundation; Alberta Health Services","keywords":"Linear particle accelerator; Physics; Monte Carlo method; Magnetic field; Transverse plane; Dosimetry; Photon; Radiation treatment planning; Beam (structure); Computational physics; Radiation therapy; Nuclear medicine; Optics; Radiology; Medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008083539,0.0002594772,0.0001860526,0.0002196692,0.0003253102,0.0004929698,0.0005201329,0.0003989555,0.002525852],"category_scores_gemma":[0.001305532,0.0003614836,0.000327808,0.000231612,0.000296197,0.0003120245,0.0005538078,0.0002373291,0.0007240294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008444106,"about_ca_system_score_gemma":0.0008924417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00260721,"about_ca_topic_score_gemma":0.002333391,"domain_scores_codex":[0.9997488,0.0000893139,0.00001801282,0.00004601965,0.00007347118,0.00002452088],"domain_scores_gemma":[0.999437,0.0001784399,0.0001753804,0.00006724571,0.00009346031,0.00004847482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002366265,0.0003534028,0.05938527,0.0003539271,0.0001397527,0.0005649952,0.0005597928,0.2880555,0.6123762,0.001897618,0.0009259341,0.03302142],"study_design_scores_gemma":[0.000285822,0.007854693,0.1193803,0.0001184299,0.0003559359,0.00264747,0.000474187,0.4397216,0.4172326,0.001791349,0.01001605,0.0001215118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9008006,0.00103072,0.09251942,0.0002666149,0.00002104251,0.0001081008,0.0002986433,0.0008145745,0.004140312],"genre_scores_gemma":[0.9843549,0.0001272652,0.01385356,0.0000708954,0.000005456397,0.00004474721,0.0001520235,0.00004274372,0.001348508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00260721,"threshold_uncertainty_score":0.008449852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005878613747417858,"score_gpt":0.2808540804932294,"score_spread":0.2749754667458115,"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."}}