{"id":"W2516938303","doi":"10.1118/1.4961794","title":"Poster ‐ 20: Detector selection for commissioning of a Monte Carlo based electron dose calculation algorithm","year":2016,"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":"University of Manitoba; CancerCare Manitoba","funders":"","keywords":"Ionization chamber; Detector; Monte Carlo method; Diode; Dosimetry; Electron; Beam (structure); Cathode ray; Optics; Physics; Percentage depth dose curve; Ionization; Materials science; Computational physics; Nuclear physics; Optoelectronics; Nuclear medicine; Ion; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001859008,0.0009108285,0.000776596,0.001057634,0.0006898409,0.001861858,0.001340974,0.001043702,0.01954913],"category_scores_gemma":[0.004892542,0.0007058498,0.0006868159,0.0007263183,0.0002781275,0.0009133043,0.001225343,0.0008132511,0.006994125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009409551,"about_ca_system_score_gemma":0.001574271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001759422,"about_ca_topic_score_gemma":0.00267675,"domain_scores_codex":[0.9989882,0.0002703941,0.0001007198,0.0001759394,0.0003668193,0.00009789654],"domain_scores_gemma":[0.9985967,0.0005602063,0.00009013553,0.0001435695,0.0005452409,0.00006412067],"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":[0.001257877,0.0002486056,0.01028115,0.0004777392,0.0001820764,0.0003901185,0.0002937681,0.1009004,0.09373862,0.00731496,0.0245003,0.7604144],"study_design_scores_gemma":[0.000207682,0.0002094744,0.006063872,0.0001133002,0.0001076644,0.000805216,0.00009138796,0.8094705,0.1293337,0.003921995,0.04958978,0.00008548878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01933576,0.0002926697,0.9668647,0.0001973414,0.00007705546,0.0002829042,0.0001868752,0.006658272,0.006104441],"genre_scores_gemma":[0.1273982,0.0001657639,0.864679,0.0001981264,0.00003797679,0.0002562308,0.0007142988,0.00150461,0.005045823],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01954913,"threshold_uncertainty_score":0.06539834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008494177241255058,"score_gpt":0.2858338794846869,"score_spread":0.2773397022434318,"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."}}