{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001266685,0.0000516106,0.0001250612,0.00001878994,0.0002917495,0.00001630035,0.00002674332,0.00004449732,0.00003970228],"category_scores_gemma":[0.0002069432,0.00005268448,0.00003027465,0.00003306438,0.00007711838,0.00006999001,0.00002608114,0.00005754945,0.000002783747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002152389,"about_ca_system_score_gemma":0.0001986218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002912462,"about_ca_topic_score_gemma":0.0002075134,"domain_scores_codex":[0.9992741,0.0001437673,0.0001003605,0.0001164257,0.0001940666,0.0001713101],"domain_scores_gemma":[0.9995096,0.0002209981,0.00003389677,0.00003977899,0.00002957338,0.0001660975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008357421,0.00007369345,0.9836857,0.0003420745,0.00001341902,0.000005514938,0.001982781,4.212497e-7,0.00008842434,0.009823283,0.001588189,0.002312895],"study_design_scores_gemma":[0.0004220064,0.00002949051,0.9911059,0.00002625317,0.00001062372,1.129066e-7,0.0008694209,0.000007314984,0.00002615909,0.0002675871,0.00718499,0.00005016498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902676,0.0005809203,0.000008787245,0.007555306,0.0001948496,0.0001346177,0.00005984406,0.00001203589,0.001185996],"genre_scores_gemma":[0.9959165,0.0001101595,0.00004191677,0.001983934,0.0001450345,0.000005314299,0.000005103384,0.000004099544,0.001787948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009555696,"threshold_uncertainty_score":0.2243931,"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."}}