{"id":"W2899805705","doi":"10.1002/acm2.12485","title":"Monte Carlo and analytic modeling of an Elekta Infinity linac with Agility <scp>MLC</scp>: Investigating the significance of accurate model parameters for small radiation fields","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Carleton University","funders":"","keywords":"Monte Carlo method; Linear particle accelerator; Medical physics; Computer science; Pinnacle; Physics; Mathematics; Statistics; Optics; Medicine; Radiation therapy; Radiation treatment planning; Beam (structure)","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":[0.0004790054,0.00045629,0.0003639835,0.0003780381,0.0003622836,0.0007302201,0.0007533934,0.0006940656,0.001453001],"category_scores_gemma":[0.001227195,0.0003044083,0.0004382597,0.0003716913,0.0004004879,0.0003617511,0.0002364134,0.0003128245,0.0002867742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001916489,"about_ca_system_score_gemma":0.00125816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01595923,"about_ca_topic_score_gemma":0.008792967,"domain_scores_codex":[0.9997752,0.00005497738,0.000008478803,0.00003201751,0.0001069278,0.00002237245],"domain_scores_gemma":[0.9992384,0.0004216164,0.0001331114,0.00005447123,0.0001289089,0.00002359002],"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":[0.00002075732,0.000009433557,0.0006471612,0.00001610928,0.000006383253,0.00003369156,0.00002190368,0.9952301,0.002295071,0.000559847,0.0001020035,0.001057582],"study_design_scores_gemma":[0.000005978182,0.00002276209,0.0004694681,0.000003897162,0.000006178199,0.00003069782,0.000005957101,0.9968724,0.001928924,0.0001652915,0.0004828523,0.000005562997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6722485,0.0008608678,0.2985148,0.0004550415,0.00004094721,0.0002897997,0.0009878703,0.001454559,0.02514775],"genre_scores_gemma":[0.976729,0.0001415239,0.02072212,0.00005740414,0.000006284199,0.0001050327,0.0002164305,0.0001332245,0.001888977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01595923,"threshold_uncertainty_score":0.03173268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.060734899538076,"score_gpt":0.3540343577914071,"score_spread":0.2932994582533311,"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."}}