{"id":"W2064657496","doi":"10.1007/s10554-011-9955-6","title":"The effect of calcium score on the diagnostic accuracy of coronary computed tomography angiography","year":2011,"lang":"en","type":"article","venue":"International journal of cardiac imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"National Science Council","keywords":"Medicine; Coronary angiography; Computed tomography; Radiology; Coronary artery calcium; Computed tomography angiography; Angiography; Tomography; Coronary Calcium Score; Cardiology; Internal medicine; 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":[0.0009812536,0.0001703059,0.0004407587,0.0003817175,0.00006654429,0.00003030005,0.0003923517,0.00002962974,0.00001931634],"category_scores_gemma":[0.002340551,0.00009437028,0.001501952,0.0002751513,0.0003564785,0.0001108419,0.00008074973,0.0003228012,0.000004500353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000347675,"about_ca_system_score_gemma":0.00007928028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005767509,"about_ca_topic_score_gemma":2.477971e-7,"domain_scores_codex":[0.9980578,0.0002208503,0.0005900306,0.0001153393,0.0008346476,0.0001813109],"domain_scores_gemma":[0.9901953,0.00786495,0.0006352985,0.0002817675,0.0009344054,0.0000883264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006179271,0.0000718661,0.9754995,0.00002332287,0.001412518,0.0001004207,0.0002441731,0.00002646697,0.0006154812,0.0002312565,0.007153294,0.01400379],"study_design_scores_gemma":[0.0009461122,0.0003606869,0.9696359,0.0007909458,0.0006054177,0.0002950297,0.0001297537,0.00003473774,0.02563095,0.0001892432,0.001291339,0.00008986498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730353,0.0134888,0.0006373071,0.001821158,0.004215087,0.0004101743,0.00006055725,0.00001712636,0.006314472],"genre_scores_gemma":[0.9989818,0.0002030207,0.0001411819,0.000235154,0.0004005705,0.000006058018,0.000006146067,0.00002011411,0.000005968042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02594647,"threshold_uncertainty_score":0.3848308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01531378519435204,"score_gpt":0.2797143869832748,"score_spread":0.2644006017889227,"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."}}