{"id":"W2474004354","doi":"10.1118/1.4957484","title":"TU‐D‐BRB‐03: Dual‐Energy CT: Considerations in Radiation Therapy","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":"Princess Margaret Cancer Centre","funders":"","keywords":"Medical physics; Medical imaging; Computer science; Radiation treatment planning; Process (computing); Radiation therapy; Scanner; Medicine; Artificial intelligence; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006660745,0.00009056219,0.0001102361,0.0000242209,0.0000379443,0.000009201083,0.00004504608,0.00003036731,0.0002107944],"category_scores_gemma":[0.00007538389,0.0000681244,0.00002777599,0.0001004027,0.00005550353,0.0001763795,0.000009607504,0.0001008141,0.00004748872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004319258,"about_ca_system_score_gemma":0.00003158319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008930449,"about_ca_topic_score_gemma":0.00001288418,"domain_scores_codex":[0.9993588,0.00001727812,0.000150663,0.000102268,0.000196092,0.0001748936],"domain_scores_gemma":[0.9996042,0.000168536,0.00001486387,0.0001190658,0.0000134407,0.00007989755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000389444,0.00009863382,0.001552004,0.00001141758,0.00002905355,0.00006445349,0.0003385737,0.001942044,0.005157832,0.02673248,0.004126589,0.959943],"study_design_scores_gemma":[0.007952589,0.0001116165,0.009288242,0.0004270856,0.00002124583,0.00005963333,0.00008125068,0.03109995,0.2602966,0.5387253,0.1505072,0.001429293],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2451269,0.003150323,0.7293823,0.006426048,0.001649053,0.0002411046,0.0000228575,0.0008729199,0.01312841],"genre_scores_gemma":[0.9983736,0.0005296738,0.00009265629,0.0005397099,0.0003647048,0.00001880502,0.000005799658,0.00001915501,0.00005589432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9585137,"threshold_uncertainty_score":0.2778032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009984454437484358,"score_gpt":0.2343215469828945,"score_spread":0.2243370925454101,"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."}}