{"id":"W2044657517","doi":"10.1118/1.3244178","title":"Sci-Thurs PM: Planning-07: Impact of Quantitative SPECT Corrections on SPECT-Weighted Mean Dose and Functional Lung Volume Segmentation as Applied in Functional Sparing RT Planning","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"","keywords":"Nuclear medicine; Volume (thermodynamics); Radiation treatment planning; Medicine; Physics; Radiology; Radiation therapy","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":[0.002568732,0.0004635823,0.0002234588,0.0005567916,0.0002960079,0.0006724352,0.0004711795,0.0004470126,0.004783303],"category_scores_gemma":[0.01015433,0.0002997986,0.0003979954,0.0002913012,0.0004414044,0.0003686411,0.0003162074,0.0004759233,0.001122295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005420131,"about_ca_system_score_gemma":0.0004765268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001740675,"about_ca_topic_score_gemma":0.002058288,"domain_scores_codex":[0.9992039,0.0004363433,0.00003381512,0.0000768207,0.0002321342,0.00001704679],"domain_scores_gemma":[0.9968231,0.002421313,0.0002199471,0.0002086194,0.0002699396,0.0000571136],"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":[0.005983312,0.0003630756,0.02639149,0.0008744951,0.0002927739,0.0003393865,0.0005519055,0.1337686,0.1510177,0.002400029,0.01106269,0.6669545],"study_design_scores_gemma":[0.0007236029,0.006513389,0.112018,0.0002454669,0.0004718434,0.002347768,0.0002607245,0.3848006,0.466944,0.004232325,0.02123921,0.0002030817],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6361229,0.00303445,0.3273639,0.001534248,0.0002967243,0.0007945081,0.001055257,0.007023274,0.02277463],"genre_scores_gemma":[0.8837489,0.0005057057,0.1080039,0.000337981,0.00006665779,0.000259724,0.0007711396,0.001581062,0.0047249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004783303,"threshold_uncertainty_score":0.01600176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04217856501857049,"score_gpt":0.3592939939703843,"score_spread":0.3171154289518138,"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."}}