{"id":"W2094344741","doi":"10.1088/0031-9155/52/5/011","title":"On the dosimetric behaviour of photon dose calculation algorithms in the presence of simple geometric heterogeneities: comparison with Monte Carlo calculations","year":2007,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":244,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Oncosuisse; International Atomic Energy Agency; Lunds Universitet","keywords":"Monte Carlo method; Simple (philosophy); Photon; Statistical physics; Algorithm; Physics; Computational physics; Computer science; Mathematics; Optics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003541058,0.00009799881,0.0002470058,0.0001934415,0.00003300845,0.000001825049,0.0001235911,0.00003165756,0.000007175743],"category_scores_gemma":[0.00002474319,0.0000494687,0.00002424251,0.0009608248,0.0002374599,0.00003148157,0.00001520115,0.0001574503,3.468553e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001433381,"about_ca_system_score_gemma":0.00001157417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001942077,"about_ca_topic_score_gemma":0.00004681099,"domain_scores_codex":[0.999276,0.00007857737,0.0002754622,0.0001319832,0.0001005882,0.0001373606],"domain_scores_gemma":[0.9986126,0.0009763759,0.0001712887,0.0001793436,0.00004355118,0.0000168714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006214867,0.0002262219,0.9650677,0.00001020982,0.0000285991,4.858437e-7,0.001954837,0.001328627,0.001947121,0.01288795,0.00003906561,0.01644704],"study_design_scores_gemma":[0.007207852,0.007227231,0.7904118,0.0004929717,0.0001916088,0.000005683148,0.01248751,0.05850099,0.08110119,0.0406003,0.0008998972,0.0008729515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9324145,0.000282167,0.06675979,0.00005780231,0.00001449873,0.0003085565,0.00001144095,0.000003506716,0.0001477092],"genre_scores_gemma":[0.9993096,0.0000252892,0.000503324,0.00005535194,0.00005849827,0.00002207824,0.00001778656,0.000005680275,0.000002369732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1746559,"threshold_uncertainty_score":0.2935853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1037755137321011,"score_gpt":0.3993695747810617,"score_spread":0.2955940610489606,"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."}}