{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001407972,0.001100182,0.002067044,0.003484522,0.0002960418,0.001770789,0.00132754,0.001686615,0.003147735],"category_scores_gemma":[0.001339736,0.0004456623,0.0005407553,0.003218099,0.001350305,0.002558553,0.0007641864,0.002142946,0.003038115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008961346,"about_ca_system_score_gemma":0.001289453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001282657,"about_ca_topic_score_gemma":0.001446272,"domain_scores_codex":[0.9995946,0.00008555636,0.00005018996,0.00007108684,0.0001715353,0.00002700191],"domain_scores_gemma":[0.9990855,0.0004555518,0.0000899311,0.00003079694,0.0002723683,0.00006583693],"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":[0.00004811041,0.00003193978,0.0002714214,0.007302039,0.00005051808,0.0004552704,0.00004956356,0.0002110625,0.001293882,0.002462602,0.01891213,0.9689115],"study_design_scores_gemma":[0.00002159793,0.00008696706,0.001674697,0.003789608,0.0000925787,0.006695863,0.0001249869,0.0001883802,0.0007469155,0.003286616,0.9832582,0.00003366644],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007634572,0.9986958,0.0001528413,0.0002965775,0.00009673719,0.000001815501,0.000005079297,0.000005360833,0.000669543],"genre_scores_gemma":[0.0006133229,0.9983706,0.0002735708,0.0001622539,0.0002339897,0.000003157351,0.00001061714,0.000001590107,0.0003308064],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003484522,"threshold_uncertainty_score":0.01053017,"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."}}