{"id":"W2105591543","doi":"10.1148/rg.284075203","title":"SPECT/CT Imaging: Clinical Utility of an Emerging Technology","year":2008,"lang":"en","type":"review","venue":"Radiographics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre","funders":"","keywords":"Medicine; Single-photon emission computed tomography; Medical physics; Correction for attenuation; Spect imaging; Functional imaging; Nuclear medicine; Emission computed tomography; Modality (human–computer interaction); Nuclear imaging; Image quality; Radiology; Positron emission tomography; Artificial intelligence; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006532575,0.0003952026,0.002469786,0.001107129,0.00009036002,0.000007609036,0.0005221921,0.0001911815,0.00006664357],"category_scores_gemma":[0.0003279697,0.0003213137,0.001304823,0.002411566,0.00106859,0.00004215004,0.0001156248,0.0016404,0.000007462366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002304013,"about_ca_system_score_gemma":0.0003946656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002235541,"about_ca_topic_score_gemma":0.000001111609,"domain_scores_codex":[0.9969181,0.0001438712,0.001496478,0.0007008406,0.0003783511,0.0003622948],"domain_scores_gemma":[0.9971058,0.0001818482,0.0005830271,0.001674749,0.0001239316,0.0003306445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002791493,0.0004295688,0.001960923,0.002773185,0.0001485841,0.0002863281,0.000002896353,1.808079e-9,4.005499e-7,0.001018362,0.009093953,0.984283],"study_design_scores_gemma":[0.0002129876,0.0000883426,0.00006543749,0.003818436,0.0009220423,0.004030355,0.000007356209,0.0002094657,0.000005243072,0.0005364785,0.9898655,0.0002383493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001463961,0.9954021,0.0008038083,0.0007939613,0.0001470359,0.001021423,0.00003213106,0.0005411088,0.001112062],"genre_scores_gemma":[0.0005430591,0.9826446,0.01610705,0.0001014217,0.0002529792,0.00009595625,0.0001548202,0.00007179717,0.0000282901],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9840447,"threshold_uncertainty_score":0.9999239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1128416434464039,"score_gpt":0.4644960135553552,"score_spread":0.3516543701089513,"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."}}