{"id":"W2466095326","doi":"10.1118/1.4955999","title":"SU‐F‐J‐91: Sparing Lung Function in Treatment Planning Using Dual Energy Tomography","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Digital Enhanced Cordless Telecommunications; Nuclear medicine; Scintigraphy; Medicine; Functional imaging; Radiation therapy; Radiation treatment planning; Radiology; Lung; Medical imaging; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006066496,0.0004877906,0.0002814871,0.0008833286,0.0001610887,0.0007318907,0.000775887,0.0008010815,0.0007617304],"category_scores_gemma":[0.001235826,0.0004231096,0.0003744415,0.000286202,0.0004289318,0.000516556,0.0004063084,0.0003687575,0.00033064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004171575,"about_ca_system_score_gemma":0.0005308515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001202812,"about_ca_topic_score_gemma":0.001590721,"domain_scores_codex":[0.9997903,0.0000701591,0.000010214,0.00004007898,0.00006628608,0.00002296753],"domain_scores_gemma":[0.9998717,0.00005740706,0.00002518189,0.00001563419,0.00001523145,0.00001474581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002245656,0.0002568736,0.0332439,0.0008022198,0.0001496805,0.001129776,0.0002061102,0.1835745,0.3128252,0.004839604,0.002157134,0.4585693],"study_design_scores_gemma":[0.0002445299,0.001030709,0.03162276,0.0001019795,0.0002345098,0.00700234,0.00007270228,0.7560008,0.1905102,0.004069751,0.008962315,0.0001472866],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2044775,0.003889071,0.7865976,0.0004556286,0.00006034912,0.0001311807,0.0001420662,0.0007168403,0.003529741],"genre_scores_gemma":[0.7299741,0.000572623,0.2679887,0.00007722026,0.0000235345,0.00008715307,0.0001342494,0.0001486672,0.0009938161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001202812,"threshold_uncertainty_score":0.003208339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347681088010948,"score_gpt":0.2393338617752461,"score_spread":0.2258570508951366,"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."}}