{"id":"W1997181278","doi":"10.1088/0031-9155/50/5/004","title":"Experimental determination of electron source parameters for accurate Monte Carlo calculation of large field electron therapy","year":2005,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Monte Carlo method; Electron; Cathode ray; Linear particle accelerator; Physics; Beam (structure); Computational physics; Field (mathematics); Photon; Optics; Nuclear physics; Mathematics; Statistics","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":[0.002351767,0.0004831566,0.0004059059,0.0004043608,0.0004265438,0.0005802938,0.0008068951,0.0007206475,0.004474187],"category_scores_gemma":[0.01018388,0.000347548,0.0002138172,0.0007909558,0.0002945696,0.0007912989,0.0004262014,0.0006832933,0.0005415626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008909969,"about_ca_system_score_gemma":0.0006027231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073039,"about_ca_topic_score_gemma":0.001472478,"domain_scores_codex":[0.9994221,0.0001534505,0.00004863033,0.00004512125,0.0002969237,0.00003391067],"domain_scores_gemma":[0.9946164,0.003411564,0.0003077388,0.0006597996,0.0009167091,0.00008769041],"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":[0.0008466939,0.0004720307,0.009986587,0.0008575834,0.0001146482,0.0003985086,0.0005185909,0.6423454,0.259528,0.03184403,0.004795033,0.04829291],"study_design_scores_gemma":[0.00008378207,0.0003522328,0.004923073,0.00007752152,0.00004999927,0.0002282347,0.00009073839,0.6956213,0.2857146,0.004953532,0.007850709,0.00005429234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2977741,0.0009790568,0.6841943,0.0004384406,0.0001506772,0.0003722765,0.001338271,0.002310702,0.01244222],"genre_scores_gemma":[0.8531865,0.0003083926,0.1444588,0.0000570073,0.00001035789,0.0003479793,0.0005673236,0.0003293798,0.000734164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004474187,"threshold_uncertainty_score":0.01496768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06137446580953876,"score_gpt":0.4135834815364126,"score_spread":0.3522090157268739,"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."}}