{"id":"W1963541435","doi":"10.1118/1.2241099","title":"SU‐FF‐T‐175: Dose Rate Optimization for Intensity‐Modulated Arc Therapy","year":2006,"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":"Toronto Metropolitan University","funders":"","keywords":"Imaging phantom; Linear particle accelerator; Dosimetry; Arc (geometry); Intensity (physics); Radiation treatment planning; Nuclear medicine; Intensity modulation; Radiation therapy; Beam (structure); Optics; Materials science; Biomedical engineering; Mathematics; Physics; Medicine; Geometry; Surgery","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":[0.0005304423,0.0005136764,0.0002446563,0.0006846889,0.0001544978,0.0005039306,0.0008296173,0.0002808146,0.001229251],"category_scores_gemma":[0.001210673,0.0002852766,0.0003889685,0.0006533085,0.0001489754,0.0004148756,0.0002118369,0.0003522821,0.0005009694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007549044,"about_ca_system_score_gemma":0.0004979821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002029011,"about_ca_topic_score_gemma":0.002318897,"domain_scores_codex":[0.9997403,0.00003727045,0.00001612128,0.00003788576,0.0001515836,0.0000168212],"domain_scores_gemma":[0.9998248,0.00004669257,0.00005149798,0.00002404472,0.00004297142,0.000009930099],"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":[0.0005736595,0.0001005188,0.004177281,0.0005170457,0.000159019,0.0001103677,0.0001168255,0.1248617,0.272374,0.005738902,0.005224776,0.5860459],"study_design_scores_gemma":[0.0001653554,0.0006331896,0.01139063,0.00003338008,0.0001900512,0.001344475,0.00002200443,0.5645273,0.3832126,0.002496366,0.03585849,0.0001262623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06157986,0.002639309,0.9261097,0.0001360801,0.00005898961,0.0001252137,0.0002243046,0.003569056,0.005557423],"genre_scores_gemma":[0.36904,0.0006457556,0.6249726,0.00008174937,0.00003290215,0.00009930645,0.0005723167,0.0009454354,0.003609911],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002029011,"threshold_uncertainty_score":0.00547725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109023842056947,"score_gpt":0.2739971321774454,"score_spread":0.2629068937568759,"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."}}