{"id":"W2980209134","doi":"10.1093/eurheartj/ehz717","title":"The new age of radiomic risk profiling: perivascular fat at the heart of the matter","year":2019,"lang":"en","type":"letter","venue":"European Heart Journal","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Profiling (computer programming); Cardiology; Pathology; Internal medicine","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001580375,0.0003239349,0.0007383279,0.00006765341,0.0004900329,0.00008780424,0.0005966953,0.000144948,0.0003323728],"category_scores_gemma":[0.0001221686,0.0001431219,0.002991266,0.0001449515,0.0003398693,0.00004096109,0.0003442384,0.003020824,0.0003691552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000654324,"about_ca_system_score_gemma":0.000213285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001751014,"about_ca_topic_score_gemma":7.977898e-7,"domain_scores_codex":[0.9953634,0.002270641,0.0005958551,0.0003000038,0.00104967,0.0004204127],"domain_scores_gemma":[0.9972963,0.0002198124,0.00042797,0.001829328,0.00009706255,0.0001294802],"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":[0.00007960694,0.00001735553,0.02411891,0.0001242932,0.001278336,0.0002366259,0.0001186314,0.00001683335,0.002964875,6.516535e-7,0.9708239,0.0002199621],"study_design_scores_gemma":[0.0008865241,0.00006624192,0.1265802,0.0003893766,0.001534502,0.003006603,0.00001985343,0.000004916417,0.001498288,0.000007829694,0.8658649,0.0001407562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2260295,0.0359367,0.00008568945,0.7265981,0.002642557,0.001931085,0.00008796366,0.00002869674,0.006659645],"genre_scores_gemma":[0.1390862,0.004007258,0.0004073335,0.6918606,0.04174282,0.000008550361,0.0001539126,0.000704614,0.1220287],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1153691,"threshold_uncertainty_score":0.9992793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808372422225886,"score_gpt":0.2441038586052054,"score_spread":0.2260201343829465,"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."}}