{"id":"W4281771455","doi":"10.1148/radiol.212283","title":"<sup>18</sup>F-NaF PET/MRI for Detection of Carotid Atheroma in Acute Neurovascular Syndrome","year":2022,"lang":"en","type":"article","venue":"Radiology","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada); St. Paul's Hospital; University Health Network; University of British Columbia","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; University of Edinburgh; British Heart Foundation; Wellcome Trust","keywords":"Medicine; Culprit; Amaurosis fugax; Atheroma; Stenosis; Neurovascular bundle; Stroke (engine); Radiology; Magnetic resonance imaging; Internal medicine; Prospective cohort study; Cardiology; Nuclear medicine; Pathology; Myocardial infarction","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":[0.0002790055,0.0001609602,0.0005512065,0.0002291367,0.00009127954,0.00000335895,0.0001379832,0.00004837665,0.0003870545],"category_scores_gemma":[0.00005806047,0.000161827,0.0004694421,0.0002389378,0.00007969321,0.00003955565,0.00007101861,0.0002048217,0.000007294127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001134524,"about_ca_system_score_gemma":0.0000835013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006032987,"about_ca_topic_score_gemma":0.00001005048,"domain_scores_codex":[0.9985629,0.0002354333,0.0003210861,0.0003749387,0.0001904796,0.0003152049],"domain_scores_gemma":[0.9992741,0.00008851716,0.0000747243,0.0004283524,0.00004173827,0.00009254154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003326464,0.003480877,0.7175508,0.001747444,0.0057496,0.00219396,0.004020529,0.02898821,0.2156506,0.0009704255,0.004749823,0.01157132],"study_design_scores_gemma":[0.02052874,0.0113766,0.8504295,0.00008259594,0.002296532,0.06366425,0.00238662,0.01362741,0.009064401,0.0005649994,0.02503553,0.0009428213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976799,0.0002636656,0.0004311102,0.0001763683,0.000172355,0.001016864,0.00006208025,0.00004959574,0.0001480559],"genre_scores_gemma":[0.9987088,0.00006482816,0.0001122797,0.0002641921,0.00007065333,0.0004457745,0.0001043002,0.00003602088,0.0001931333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2065862,"threshold_uncertainty_score":0.6599112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009205040602082742,"score_gpt":0.2359115135712843,"score_spread":0.2267064729692016,"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."}}