{"id":"W4239266723","doi":"10.1016/j.jcct.2015.09.002","title":"President's Page","year":2015,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Fractional flow reserve; Computed tomographic angiography; Coronary artery disease; Cardiology; Cardiac catheterization; Computed tomographic; Prospective cohort study; Angiography; Clinical trial; Coronary angiography; Radiology; Internal medicine; Computed tomography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008039992,0.003693443,0.004669451,0.005819206,0.004630048,0.01288398,0.003332723,0.02539147,0.1005544],"category_scores_gemma":[0.03602909,0.001679092,0.003678147,0.00191219,0.001985024,0.004792467,0.003648851,0.01944934,0.07878952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003896902,"about_ca_system_score_gemma":0.005444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002251931,"about_ca_topic_score_gemma":0.008784177,"domain_scores_codex":[0.9934884,0.0009283624,0.0006096641,0.0007083688,0.003606032,0.0006591135],"domain_scores_gemma":[0.9813645,0.00375692,0.001621105,0.000617645,0.006967309,0.005672461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001071243,0.000008001688,0.0000144818,0.00003943605,0.000004607761,0.00004157277,0.000003234245,0.000009309444,0.00001271231,0.0001077686,0.9967866,0.002961639],"study_design_scores_gemma":[0.00006555746,0.00002797438,0.0002607359,0.0003202897,0.0000287224,0.0001098337,0.00003151315,0.00009042435,0.00003684169,0.0006580561,0.9983507,0.00001922758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003093501,0.002579653,0.00007429011,0.04058167,0.9493501,0.00004090929,0.0000577279,0.00009605615,0.007188613],"genre_scores_gemma":[0.0004487866,0.0024227,0.0001265937,0.05210541,0.8822743,0.00007178792,0.00009411377,0.00008454256,0.06237181],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1005544,"threshold_uncertainty_score":0.336388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00951271036343046,"score_gpt":0.2481996358387189,"score_spread":0.2386869254752885,"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."}}