{"id":"W4211194059","doi":"10.1016/j.jcct.2022.02.003","title":"CT imaging with ultra-high-resolution: Opportunities for cardiovascular imaging in clinical practice","year":2022,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"Canon Medical Systems Corporation","keywords":"Medicine; Radiology; Angiography; Coronary angiography; Computed tomography angiography; Image resolution; Clinical Practice; Medical physics; Cardiology; 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":[0.001565566,0.0008926666,0.001499555,0.003375415,0.0002801952,0.001798773,0.0009762048,0.002057409,0.004202625],"category_scores_gemma":[0.002266029,0.0003851154,0.0007694385,0.002257694,0.001138603,0.002743104,0.001069289,0.003589221,0.002435194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007394542,"about_ca_system_score_gemma":0.00133536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009613603,"about_ca_topic_score_gemma":0.001349795,"domain_scores_codex":[0.9995555,0.0001116154,0.00005567344,0.00005490709,0.0001881509,0.00003411548],"domain_scores_gemma":[0.9980146,0.001228631,0.0001625242,0.00005479516,0.0004268414,0.0001125609],"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":[0.00005473604,0.00005032619,0.0002917784,0.01185956,0.00008055658,0.0002590478,0.00006755177,0.0002790967,0.001172129,0.004303558,0.02371779,0.9578639],"study_design_scores_gemma":[0.00002588408,0.0001177091,0.001510731,0.00685967,0.0001198594,0.003798031,0.0001114982,0.0002173613,0.0004890269,0.00489646,0.9818091,0.00004470705],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007604535,0.9979306,0.0002287355,0.0006468733,0.000263801,0.000003757636,0.000006617336,0.000009068975,0.0008343713],"genre_scores_gemma":[0.0006288546,0.9977949,0.0004276098,0.0003692328,0.0005003311,0.000005492483,0.00001511625,0.000002828076,0.0002557038],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004202625,"threshold_uncertainty_score":0.01405919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06325622657927543,"score_gpt":0.3297983244225253,"score_spread":0.2665420978432498,"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."}}