{"id":"W2751451059","doi":"10.1017/s1460396917000176","title":"Preclinical studies for implementing flattening filter-free beams in hypofractionated volumetric-modulated arc therapy (VMAT) for prostate cancer radiotherapy","year":2017,"lang":"en","type":"article","venue":"Journal of Radiotherapy in Practice","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Grand River Hospital; University of Waterloo; BC Cancer Agency","funders":"Accuray; Sun Nuclear Corporation","keywords":"Truebeam; Radiation therapy; Nuclear medicine; Medicine; Prostate cancer; Radiation treatment planning; Prostate; Medical physics; Cancer; Linear particle accelerator; Radiology; Beam (structure); Internal medicine; Optics; Physics","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":[0.001726632,0.0008624503,0.0003998234,0.0005917078,0.0003572988,0.0004671267,0.001177746,0.0006440547,0.002082431],"category_scores_gemma":[0.0009861576,0.0003526828,0.0006986248,0.0002748959,0.0004845774,0.0005822456,0.000241918,0.001213128,0.0004860761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006677203,"about_ca_system_score_gemma":0.0007140178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001470772,"about_ca_topic_score_gemma":0.001135213,"domain_scores_codex":[0.9992529,0.0002300304,0.0000434009,0.0001036588,0.0002057638,0.0001643914],"domain_scores_gemma":[0.9990606,0.0002352592,0.0001769792,0.0001392856,0.0002270627,0.0001607871],"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":[0.0009190887,0.004555364,0.0006737134,0.000239506,0.00004806529,0.0000785726,0.00008223899,0.003049794,0.9778837,0.0004456759,0.0003806323,0.01164377],"study_design_scores_gemma":[0.0002652294,0.06771584,0.003137419,0.00003494808,0.0001186453,0.0002171097,0.00004210047,0.00463537,0.9194942,0.0001588116,0.004157755,0.00002260461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656768,0.002581815,0.02588438,0.0003271119,0.0001949274,0.001025425,0.0006550033,0.0004258174,0.003228651],"genre_scores_gemma":[0.9676331,0.002585832,0.02410315,0.0001544292,0.0000818792,0.000727489,0.001564655,0.00008662216,0.003062783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002082431,"threshold_uncertainty_score":0.009131372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05988292158992597,"score_gpt":0.4404521386396847,"score_spread":0.3805692170497588,"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."}}