{"id":"W2093563158","doi":"10.1118/1.3476144","title":"Poster — Thur Eve — 39: Dosimetric Evaluation of Bulk Electron Density Based Treatment Planning in IMRT Head and Neck Patients: Can It Be Used for MRI‐Based Planning?","year":2010,"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":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Contouring; Radiation treatment planning; Nuclear medicine; Homogeneous; Dosimetry; Hounsfield scale; Electron density; Head and neck; Pinnacle; Radiation therapy; Electron; Medicine; Physics; Computer science; Radiology; Computed tomography; 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":[0.002302695,0.0004315443,0.0003486599,0.0006283569,0.0003069358,0.001190424,0.0005480991,0.000472505,0.008683465],"category_scores_gemma":[0.004249947,0.0002460461,0.0005181234,0.0002523373,0.0003421716,0.0005535608,0.0006645214,0.0004423503,0.002057109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005461494,"about_ca_system_score_gemma":0.0003681115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001054568,"about_ca_topic_score_gemma":0.001237667,"domain_scores_codex":[0.9991127,0.0004113074,0.00003532235,0.00006342562,0.000342638,0.00003454177],"domain_scores_gemma":[0.9993317,0.0002209546,0.00007730281,0.0001255262,0.0001869186,0.00005755636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005755035,0.0008240736,0.02219571,0.0008584587,0.000311483,0.0004303453,0.0004219423,0.1151676,0.1897952,0.004177736,0.02979327,0.6302691],"study_design_scores_gemma":[0.000877898,0.009095088,0.1506734,0.0005692404,0.0004732942,0.002886157,0.0004634972,0.3103065,0.426759,0.01000423,0.08735488,0.0005368581],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6695597,0.008776535,0.2109487,0.002787984,0.001711469,0.001423563,0.002164088,0.003385347,0.09924264],"genre_scores_gemma":[0.9184775,0.001233061,0.05780501,0.0004168484,0.0002097683,0.0001951729,0.0009732399,0.001278108,0.0194111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008683465,"threshold_uncertainty_score":0.0290491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02315181376655573,"score_gpt":0.3409538794735129,"score_spread":0.3178020657069572,"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."}}