{"id":"W2163206254","doi":"10.1017/s1460396913000137","title":"Variation of PTV dose distribution on patient size in prostate VMAT and IMRT: a dosimetric evaluation using the PTV dose–volume factor","year":2013,"lang":"en","type":"article","venue":"Journal of Radiotherapy in Practice","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Grand River Hospital; Princess Margaret Cancer Centre; University of Waterloo; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Nuclear medicine; Prostate; Radiation therapy; Radiology; Internal medicine; Cancer","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":[0.001015167,0.0003045039,0.0001942187,0.0006409544,0.00009437789,0.0002521261,0.0003011465,0.0003008124,0.0005704369],"category_scores_gemma":[0.005593282,0.0001968214,0.0004868957,0.000436408,0.0002573995,0.0002579144,0.0002344693,0.0002340686,0.0001028547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005856273,"about_ca_system_score_gemma":0.0001123906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001462042,"about_ca_topic_score_gemma":0.0008364047,"domain_scores_codex":[0.999102,0.0003865074,0.00003859374,0.0001030917,0.0003258635,0.00004396461],"domain_scores_gemma":[0.9971623,0.001875814,0.0004508905,0.0002081628,0.0002268986,0.00007590879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003538482,0.0002142709,0.3145184,0.0002554905,0.0006676259,0.0002823791,0.0005149429,0.236851,0.3258384,0.001007658,0.0007374963,0.1155739],"study_design_scores_gemma":[0.00007713094,0.002179686,0.6926435,0.00002257709,0.0001658584,0.001651361,0.00009109845,0.1654048,0.1352989,0.0004876665,0.001900459,0.00007709028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698286,0.0008046508,0.02776572,0.00003994957,0.000009922986,0.00003908873,0.0001743081,0.0001990824,0.001138716],"genre_scores_gemma":[0.9970512,0.00003123275,0.002683096,0.000008106596,0.00000277531,0.000008987401,0.0000674587,0.00004332737,0.0001037891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001462042,"threshold_uncertainty_score":0.005368829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131630034569122,"score_gpt":0.3196302962374841,"score_spread":0.3064672927805719,"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."}}