{"id":"W1435066283","doi":"10.1118/1.4924990","title":"SU‐E‐T‐627: Precision Modelling of the Leaf‐Bank Rotation in Elekta's Agility MLC: Is It Necessary?","year":2015,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Ottawa Hospital","funders":"","keywords":"Monte Carlo method; Collimator; Linear particle accelerator; Rotation (mathematics); Dosimetry; Radiation treatment planning; Nuclear medicine; Physics; Computer science; Simulation; Computational physics; Optics; Radiation therapy; Beam (structure); Mathematics; Medicine; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005055491,0.0003423667,0.0002777785,0.0001673846,0.000177506,0.0006019561,0.0006084371,0.0005649829,0.001610592],"category_scores_gemma":[0.001237769,0.0002151266,0.0002959269,0.0002679006,0.0002753229,0.0002713375,0.0002321714,0.000284272,0.0004271835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006431665,"about_ca_system_score_gemma":0.0006468617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004652543,"about_ca_topic_score_gemma":0.00328264,"domain_scores_codex":[0.9997934,0.00005126039,0.00001147322,0.00002635113,0.0001013757,0.00001620658],"domain_scores_gemma":[0.9994734,0.0002335527,0.00008317061,0.0001014562,0.00009357225,0.00001490875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001761122,0.00002707876,0.004875831,0.0001061939,0.00002467984,0.00009920277,0.00009920192,0.9429892,0.03474644,0.001455726,0.0006692341,0.01473106],"study_design_scores_gemma":[0.00002491832,0.0001119117,0.002597747,0.00001370422,0.00001902009,0.00009907348,0.00001553368,0.9655362,0.02831566,0.0002765106,0.002966638,0.00002315528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5863406,0.000519197,0.3929958,0.0002194797,0.0000395964,0.0001364021,0.0009708506,0.004249588,0.01452856],"genre_scores_gemma":[0.962231,0.00008593377,0.03580518,0.00002941997,0.000004496484,0.00006353956,0.0002898042,0.0002424637,0.001248075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004652543,"threshold_uncertainty_score":0.009250879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04000441495503083,"score_gpt":0.318197449944706,"score_spread":0.2781930349896752,"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."}}