{"id":"W3120410129","doi":"10.1161/strokeaha.120.032070","title":"Effects of Life Events and Social Isolation on Stroke and Coronary Heart Disease","year":2021,"lang":"en","type":"article","venue":"Stroke","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"National Institute on Aging","keywords":"Social isolation; Medicine; Disease; Isolation (microbiology); Social distance; Pandemic; Vulnerability (computing); Stroke (engine); Gerontology; Coronavirus disease 2019 (COVID-19); Internal medicine; Infectious disease (medical specialty); Psychiatry; Bioinformatics","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":[0.0008069109,0.0002552131,0.0003048181,0.0009344296,0.0009806541,0.001037662,0.0003148732,0.0005331062,0.003644698],"category_scores_gemma":[0.005522219,0.0001265391,0.0007372202,0.0006674474,0.0006210181,0.0005896341,0.002004695,0.0009659703,0.0002423654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000663231,"about_ca_system_score_gemma":0.0008741124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009474483,"about_ca_topic_score_gemma":0.01678295,"domain_scores_codex":[0.9987213,0.0005576085,0.00007415554,0.00009654307,0.0001928875,0.0003574542],"domain_scores_gemma":[0.997154,0.0006633911,0.0008555532,0.0000594699,0.0002172433,0.001050313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002452539,0.0003900805,0.9578818,0.0001649647,0.0005193324,0.0002807488,0.0008894177,0.0001960604,0.0001098199,0.001319762,0.001307366,0.03669535],"study_design_scores_gemma":[0.000004320631,0.0001314544,0.9970547,0.000123089,0.00007860475,0.0001388451,0.0007809177,0.0001158034,0.00001944072,0.0005082219,0.001034563,0.00001010172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554416,0.02120949,0.0002223685,0.004729672,0.0001897223,0.00003208909,0.0005963309,0.00001119886,0.01756753],"genre_scores_gemma":[0.9923556,0.006223819,0.00009374158,0.0002765068,0.0002091391,0.00001417019,0.0002223813,0.000003056468,0.0006016699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009474483,"threshold_uncertainty_score":0.0188387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587922319134965,"score_gpt":0.3108583694114503,"score_spread":0.2949791462201006,"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."}}