{"id":"W2052517962","doi":"10.1118/1.3181911","title":"SU‐FF‐T‐429: Electron Monte Carlo Dose Calculation in Eclipse for Siemens Linear Accelerators","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Monte Carlo method; Physics; Fluence; Electron; Linear particle accelerator; Computational physics; Photon; Siemens; Beam (structure); Dosimetry; Cathode ray; Eclipse; Nuclear medicine; Nuclear physics; Atomic physics; Optics; Mathematics; Statistics; Irradiation","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":[0.0009156892,0.0004789814,0.0003744751,0.0005776701,0.0002425647,0.000686329,0.001067781,0.0006929586,0.01052163],"category_scores_gemma":[0.002161789,0.000553363,0.0005513198,0.0006020927,0.0001484784,0.0004085137,0.0004055034,0.0006399211,0.003373743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007010057,"about_ca_system_score_gemma":0.0007980726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003193638,"about_ca_topic_score_gemma":0.003867498,"domain_scores_codex":[0.9996288,0.000110842,0.00003711466,0.00003730544,0.0001618274,0.00002421377],"domain_scores_gemma":[0.9994654,0.0002341266,0.00003787516,0.00006721774,0.0001723597,0.0000229227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001559121,0.0001539249,0.009846197,0.001315344,0.0003499574,0.0005638952,0.0004148917,0.3451024,0.07183937,0.02640708,0.04596827,0.4964797],"study_design_scores_gemma":[0.000131552,0.000144448,0.005935764,0.00007145713,0.00006964411,0.0006607765,0.00003406785,0.8973048,0.05036037,0.004403497,0.04080491,0.00007872663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0175268,0.0004408665,0.9632561,0.00009978273,0.00004508442,0.00007577067,0.0006982869,0.009829291,0.00802809],"genre_scores_gemma":[0.2780948,0.0004696733,0.6987932,0.0001373859,0.00002708266,0.0003630818,0.002410126,0.00609552,0.01360911],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01052163,"threshold_uncertainty_score":0.03519833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311902970930916,"score_gpt":0.3189977092060158,"score_spread":0.3058786794967066,"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."}}