{"id":"W2979640617","doi":"10.1016/j.cjca.2019.07.185","title":"A NOVEL 3-DIMENSIONAL TECHNIQUE IN MEASURING PERICORONARY EPICARDIAL ADIPOSE TISSUE","year":2019,"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":"Medicine; Hounsfield scale; Coronary arteries; Coronary artery disease; Artery; Adipose tissue; Segmentation; Thresholding; CAD; Coronal plane; Radiodensity; Radiology; Artificial intelligence; Internal medicine; Cardiology; Computed tomography; Computer science; Radiography; Image (mathematics)","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":[0.001978569,0.0005801664,0.0004299034,0.00188003,0.000400622,0.001330766,0.0007637609,0.001456189,0.002359059],"category_scores_gemma":[0.002440662,0.0007713359,0.0005263155,0.0008972808,0.0004004822,0.001499307,0.001050288,0.001122454,0.00074107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002258694,"about_ca_system_score_gemma":0.0005443017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008604287,"about_ca_topic_score_gemma":0.002264084,"domain_scores_codex":[0.9989924,0.0003096423,0.00008595506,0.0002131445,0.0003340397,0.00006485278],"domain_scores_gemma":[0.998307,0.0007731968,0.0001425276,0.0002486107,0.0004322628,0.00009636525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00105971,0.0001726959,0.0230921,0.0005208439,0.000154382,0.001280395,0.0004895742,0.001462329,0.7757574,0.001945993,0.00259016,0.1914743],"study_design_scores_gemma":[0.0007011032,0.00307732,0.2357603,0.0005230684,0.001457651,0.06809653,0.001392154,0.1261152,0.5007977,0.004574561,0.05648551,0.001018782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.155475,0.006689928,0.8278744,0.0008738343,0.0007733979,0.0004358571,0.0009110114,0.001251546,0.005715035],"genre_scores_gemma":[0.236332,0.002333651,0.756572,0.0005346506,0.0002899296,0.0005596203,0.0002469956,0.0001935277,0.002937532],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002359059,"threshold_uncertainty_score":0.01046377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400923985441299,"score_gpt":0.2275724711808303,"score_spread":0.2135632313264174,"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."}}