{"id":"W2902667326","doi":"10.1002/mp.13309","title":"Proton beam behavior in a parallel configured <scp>MRI</scp>‐proton therapy hybrid: Effects of time‐varying gradient magnetic fields","year":2018,"lang":"en","type":"article","venue":"Medical Physics","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Proton therapy; Proton; Physics; Magnetic resonance imaging; Magnetic field; Monte Carlo method; Magnet; Nuclear magnetic resonance; Beam (structure); Electromagnetic coil; Magnetostatics; Computational physics; Optics; Nuclear physics; Mathematics","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":[0.0003156229,0.0002141086,0.0004805345,0.00009519196,0.00004856116,0.00001064919,0.0001753274,0.0001876055,0.0002866942],"category_scores_gemma":[0.0003181197,0.0001755919,0.0001339358,0.0003018213,0.0002755742,0.00006345962,0.00002604208,0.0003998866,0.00008271842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004191172,"about_ca_system_score_gemma":0.0001525379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005585201,"about_ca_topic_score_gemma":9.829406e-7,"domain_scores_codex":[0.9981224,0.00009719318,0.0004119487,0.0003120109,0.0007051275,0.0003513023],"domain_scores_gemma":[0.9987866,0.000372116,0.000134592,0.000359163,0.00008394554,0.0002635343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002777452,0.01990208,0.2057653,0.004374528,0.0006388484,0.001226609,0.01273652,0.00004424937,0.1194604,0.000556429,0.01690876,0.6156088],"study_design_scores_gemma":[0.0117679,0.006961842,0.03353016,0.0006070524,0.0001025545,0.00003172926,0.00002129197,0.002356434,0.9377419,0.001563547,0.005121993,0.0001935562],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991631,0.0007149913,0.001947674,0.0002295585,0.0002253357,0.003632285,0.000003614522,0.00006435024,0.001551245],"genre_scores_gemma":[0.9965512,0.000278324,0.0001131403,0.001409863,0.0005564982,0.0006495526,0.00003314313,0.00003347425,0.0003748463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8182816,"threshold_uncertainty_score":0.7160429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043395352013454,"score_gpt":0.2692946866759638,"score_spread":0.2588607331558293,"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."}}