{"id":"W4387024450","doi":"10.20944/preprints202309.1343.v1","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":"preprint","venue":"Preprints.org","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":2,"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; Logistic regression; Obesity; Odds ratio; Prospective cohort study; Longitudinal study; Cohort study; Cardiology; Weight change; Atherosclerosis Risk in Communities; Weight loss; Carotid arteries; Pathology","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":[0.002511167,0.0005442641,0.0005406977,0.001261606,0.0008453936,0.0008387268,0.0008111653,0.0007873898,0.0009471514],"category_scores_gemma":[0.002646173,0.0006434541,0.001465162,0.001890266,0.0002739807,0.0003694119,0.0006616899,0.001126454,0.0001663009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008346392,"about_ca_system_score_gemma":0.001569455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.242361,"about_ca_topic_score_gemma":0.2132847,"domain_scores_codex":[0.9990277,0.0001849303,0.00008042553,0.0002424713,0.0002866841,0.0001778335],"domain_scores_gemma":[0.9982475,0.000221371,0.0003904092,0.0003543267,0.0003982759,0.0003880573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007179628,0.00003646875,0.9969944,0.00001310699,0.0004595396,0.00004266042,0.00006753331,0.00006911854,0.0003064896,0.00001860708,0.0001576181,0.001116598],"study_design_scores_gemma":[0.00001504597,0.0000640086,0.9994034,0.000002867124,0.0001014402,0.00003015403,0.0000319879,0.000190723,0.00003124508,0.000008524539,0.0001161422,0.000004534898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976339,0.0003767408,0.0002104905,0.00002662548,0.00001235753,0.00002104707,0.001442508,0.000009489788,0.0002668213],"genre_scores_gemma":[0.9969828,0.00020505,0.0002797262,0.00002474506,0.00001399239,0.00003009959,0.002061838,0.000006922853,0.0003947616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7576389,"threshold_uncertainty_score":0.4819007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2544553437196132,"score_gpt":0.3522185181149703,"score_spread":0.09776317439535709,"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."}}