{"id":"W4400126740","doi":"10.3390/jcdd11070196","title":"Correction: Liu et al. Weight Change and Risk of Atherosclerosis Measured by Carotid Intima–Media Thickness (cIMT) from a Prospective Cohort—Analysis of the First-Wave Follow-Up Data of the Canadian Longitudinal Study on Aging (CLSA). J. Cardiovasc. Dev. Dis. 2023, 10, 435","year":2024,"lang":"en","type":"erratum","venue":"Journal of Cardiovascular Development and Disease","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Intima-media thickness; Cohort; Medicine; Internal medicine; Cardiology; Prospective cohort study; Carotid arteries","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009158166,0.003845683,0.003252751,0.006070228,0.003143407,0.004839313,0.005379485,0.006058601,0.09555021],"category_scores_gemma":[0.135341,0.002133874,0.003779289,0.004341238,0.001792259,0.00238284,0.002281191,0.01158693,0.03723411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004150163,"about_ca_system_score_gemma":0.009183705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03226848,"about_ca_topic_score_gemma":0.03093826,"domain_scores_codex":[0.9923049,0.001367808,0.001843611,0.0009330186,0.00291955,0.0006311522],"domain_scores_gemma":[0.9423221,0.01275378,0.003123465,0.003424353,0.03645154,0.001924801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003784156,0.000004176872,0.0000786248,0.0002191011,0.00002593095,0.00009492422,0.00001867141,0.00001792792,0.00001788427,0.0001698335,0.9969134,0.002401656],"study_design_scores_gemma":[0.000411826,0.00004931361,0.003282293,0.002242547,0.0003267811,0.0009582335,0.0001732393,0.0005059137,0.0003923049,0.001853475,0.98968,0.0001240925],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001049488,0.0007443787,0.000358389,0.02261828,0.9717112,0.00003761121,0.003488913,0.0002436357,0.0006926063],"genre_scores_gemma":[0.02221454,0.01162309,0.009219685,0.09327663,0.6642752,0.001203011,0.02156887,0.003544173,0.1730748],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9677315,"threshold_uncertainty_score":0.3196473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05451470924239107,"score_gpt":0.2737774456162747,"score_spread":0.2192627363738836,"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."}}