{"id":"W1969161102","doi":"10.1088/0031-9155/57/7/n83","title":"Synthetic Hounsfield units from spectral CT data","year":2012,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Hounsfield scale; Nuclear medicine; Computer science; Computed tomography; Mathematics; Artificial intelligence; Medicine; Radiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008697069,0.00008212026,0.0001515031,0.00002104739,0.00001626857,0.000001625095,0.0001166263,0.00002129529,0.00003072749],"category_scores_gemma":[0.00003792793,0.00006349863,0.000004525359,0.00009858871,0.00007929848,0.0001072429,0.00004476203,0.00016477,0.000006309268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005602267,"about_ca_system_score_gemma":0.000003206146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007371113,"about_ca_topic_score_gemma":0.00001097395,"domain_scores_codex":[0.9995621,0.00001538275,0.00009356663,0.0001076213,0.00002350874,0.0001978452],"domain_scores_gemma":[0.9995979,0.000133975,0.00001094503,0.0002121422,0.000005256398,0.00003974693],"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":[0.0000391301,0.0001524382,0.146866,0.0001666705,0.0002236376,0.00003510881,0.005290664,0.0009830778,0.1023588,0.05113254,0.0069716,0.6857803],"study_design_scores_gemma":[0.00874954,0.0006900165,0.05180252,0.001523885,0.000587909,0.0001869013,0.01232672,0.1131147,0.05170298,0.4308518,0.3249038,0.003559142],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558838,0.009371343,0.02670621,0.0004453565,0.0009133091,0.00007779139,0.00003991058,0.00009774033,0.006464516],"genre_scores_gemma":[0.9977142,0.0007272865,0.0003543106,0.0001877934,0.000903439,0.000001824511,0.00009746114,0.000008123669,0.000005525463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6822212,"threshold_uncertainty_score":0.2589399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2351639887451779,"score_gpt":0.3633341470215998,"score_spread":0.1281701582764219,"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."}}