{"id":"W4402025887","doi":"10.1016/j.atherosclerosis.2024.118571","title":"Correspondence on: “Subclinical atherosclerosis: More data – More insights into prevention”","year":2024,"lang":"en","type":"letter","venue":"Atherosclerosis","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Robarts Clinical Trials","funders":"","keywords":"Subclinical infection; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00453402,0.001954615,0.003188032,0.001361926,0.005179472,0.006572355,0.002505271,0.05328072,0.02546143],"category_scores_gemma":[0.0301201,0.001309165,0.001932027,0.001230394,0.003253679,0.003822847,0.002403772,0.0440007,0.02454955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005456013,"about_ca_system_score_gemma":0.005799765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005084232,"about_ca_topic_score_gemma":0.009632638,"domain_scores_codex":[0.9935138,0.001924734,0.0006774002,0.0008958823,0.002026344,0.0009617299],"domain_scores_gemma":[0.9861106,0.007193919,0.000944894,0.0003722965,0.002528535,0.002849784],"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":[0.00006947638,0.0000344472,0.0002288379,0.00004168736,0.00001307335,0.000555777,0.00003835405,0.0000209712,0.00009923438,0.0006740104,0.9941438,0.004080319],"study_design_scores_gemma":[0.0003615087,0.0001379628,0.001566255,0.0005802548,0.00006045333,0.000927693,0.0002797272,0.0005344544,0.0002403829,0.005691177,0.9895384,0.00008171234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002225095,0.001173623,0.00008563247,0.9382232,0.05387316,0.00004988771,0.0001380626,0.00004183969,0.006192104],"genre_scores_gemma":[0.001292195,0.0006722254,0.0001720529,0.9068063,0.07394109,0.00007287344,0.00006060597,0.00003477076,0.01694782],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05328072,"threshold_uncertainty_score":0.085177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09089097951828003,"score_gpt":0.3699502449248276,"score_spread":0.2790592654065476,"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."}}