{"id":"W2759221164","doi":"10.1016/j.cjca.2017.07.062","title":"QUANTIFICATION OF EPICARDIAL ADIPOSE TISSUE IN NON-CONTRAST AND CONTRAST COMPUTED TOMOGRAPHY IMAGING: COMPARISON OF HOUNSFIELD THRESHOLD","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Hospital Edmonton","funders":"","keywords":"Hounsfield scale; Radiodensity; Medicine; Contrast (vision); Nuclear medicine; Volume (thermodynamics); Computed tomography; Gold standard (test); Adipose tissue; Epicardial fat; Radiology; Radiography; Internal medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002632645,0.0003914879,0.0004745869,0.001532911,0.0002091948,0.001486194,0.0004577361,0.0007681122,0.0007788969],"category_scores_gemma":[0.005496029,0.000350882,0.0002500289,0.000729772,0.000483702,0.0008467384,0.0005019121,0.0004078922,0.0001849243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003428974,"about_ca_system_score_gemma":0.000434223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001221936,"about_ca_topic_score_gemma":0.00103809,"domain_scores_codex":[0.9991938,0.0002776753,0.0000831108,0.0001431298,0.0002389897,0.00006323658],"domain_scores_gemma":[0.9975747,0.001370843,0.0002614332,0.0001868308,0.000474478,0.0001317347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01323958,0.0003849624,0.1254967,0.001197925,0.0004371946,0.0006346546,0.001039521,0.008130016,0.6288957,0.00292088,0.0005406098,0.2170822],"study_design_scores_gemma":[0.0001741496,0.00169001,0.3912862,0.0001617066,0.0007180024,0.005101762,0.0007408013,0.08795913,0.5059457,0.002316534,0.00373643,0.0001694785],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9190543,0.006139381,0.0716527,0.0001313983,0.00007438724,0.0001175605,0.0003286282,0.000295554,0.002206094],"genre_scores_gemma":[0.9598024,0.0009490578,0.03813206,0.00004626813,0.00002034664,0.00005656211,0.0001669007,0.00007994982,0.0007464244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002632645,"threshold_uncertainty_score":0.01392293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739066103422686,"score_gpt":0.2782344636729038,"score_spread":0.260843802638677,"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."}}