{"id":"W4387776195","doi":"10.3390/jcdd10100435","title":"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)","year":2023,"lang":"en","type":"article","venue":"Journal of Cardiovascular Development and Disease","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Medicine; Overweight; Internal medicine; Intima-media thickness; Cohort; Odds ratio; Logistic regression; Obesity; Prospective cohort study; Cohort study; Longitudinal study; Weight change; Weight loss; Cardiology; Pathology; Carotid arteries","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002117691,0.0005381485,0.0005087073,0.001202609,0.0008349217,0.0007457429,0.0007394499,0.0007017265,0.0008542092],"category_scores_gemma":[0.002185924,0.000627953,0.001359046,0.001903515,0.0002636095,0.0003342684,0.0005892279,0.001011188,0.0001469116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008167973,"about_ca_system_score_gemma":0.001488914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2428581,"about_ca_topic_score_gemma":0.2154854,"domain_scores_codex":[0.9992342,0.0001430373,0.00006385578,0.0001798944,0.0002203904,0.0001587149],"domain_scores_gemma":[0.9986671,0.0001509785,0.000309652,0.0002532473,0.0003151306,0.0003038542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006921455,0.0000364255,0.9971594,0.00001247109,0.0004070807,0.000044735,0.00006592404,0.00006470372,0.0003395884,0.00001723557,0.0001383555,0.001021945],"study_design_scores_gemma":[0.00001398001,0.00005624239,0.9994636,0.00000247043,0.00009188523,0.000028039,0.00002931599,0.0001668513,0.00003052078,0.000007978556,0.0001052592,0.000003910804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977882,0.0003644809,0.0001934013,0.00002360017,0.00001042011,0.00002165611,0.001361673,0.000008280883,0.0002282094],"genre_scores_gemma":[0.9971187,0.0001962074,0.0002750495,0.00002278872,0.00001162441,0.00002914977,0.00200844,0.000005814468,0.0003321425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7571419,"threshold_uncertainty_score":0.4828891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07830695259447207,"score_gpt":0.274843000459948,"score_spread":0.1965360478654759,"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."}}