{"id":"W2893267426","doi":"10.1016/j.hlc.2018.09.006","title":"Markers of Atherosclerosis: Part 2 – Genetic and Imaging Markers","year":2018,"lang":"en","type":"review","venue":"Heart Lung and Circulation","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital","funders":"European Regional Development Fund; Ministerstvo Zdravotnictví Ceské Republiky; European Commission","keywords":"Medicine; Genetic marker; Computational biology; Pathology; Genetics; Gene","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":[0.0002137442,0.0001769709,0.0007533394,0.00008673456,0.00006513709,0.00002042739,0.00001956222,0.0001128249,0.00002215347],"category_scores_gemma":[0.00001653852,0.000157836,0.0003757885,0.0001037968,0.0000888931,0.00003622235,0.00002519059,0.00009650243,0.000003322811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002189305,"about_ca_system_score_gemma":0.00006996117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001305315,"about_ca_topic_score_gemma":3.726678e-7,"domain_scores_codex":[0.9989963,0.0001140657,0.0002836971,0.0003043294,0.0001661611,0.0001354649],"domain_scores_gemma":[0.9994478,0.00003198912,0.00009596816,0.000264929,0.00003380453,0.0001254636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005132938,0.00005330648,0.04756159,0.04062597,0.001381778,0.000008927846,0.00005099938,8.063769e-7,0.0000336953,0.000009200221,0.001639714,0.9085827],"study_design_scores_gemma":[0.0006627499,0.00004904559,0.4404948,0.02372047,0.009795533,0.0003960096,0.00002100297,0.0003425565,0.000001353762,0.00001277763,0.524184,0.0003197189],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006559744,0.9925289,0.00004100159,0.00001646536,0.00008474192,0.0005189611,0.00001300383,0.00002132785,0.0002158801],"genre_scores_gemma":[0.01255904,0.9869634,0.00008657415,0.00003848635,0.0001899717,0.00002033253,0.00006254989,0.00002909769,0.00005055347],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.908263,"threshold_uncertainty_score":0.6436364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119066330380767,"score_gpt":0.283913491589421,"score_spread":0.2627228282856134,"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."}}