{"id":"W2996313034","doi":"10.1097/mlr.0000000000001249","title":"Effects of Cardiovascular Health Shocks on Spouses’ Work and Earnings","year":2019,"lang":"en","type":"article","venue":"Medical Care","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; University of Manitoba; Health Sciences Centre; Manitoba Health; Statistics Canada","funders":"","keywords":"Earnings; Medicine; Shock (circulatory); Myocardial infarction; Cohort; Demography; Health and Retirement Study; Stroke (engine); Population; Gerontology; Internal medicine; Finance; Environmental health; Economics","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":[0.001116956,0.000147787,0.0001849187,0.000593496,0.0004432011,0.0005297975,0.000226309,0.0001896494,0.001591629],"category_scores_gemma":[0.004544509,0.0001133267,0.0004008944,0.0005539258,0.0002925609,0.0002342024,0.0005345413,0.0002747233,0.0001136355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003798252,"about_ca_system_score_gemma":0.0004599758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02133822,"about_ca_topic_score_gemma":0.02436239,"domain_scores_codex":[0.9993118,0.0002348086,0.00005547492,0.00008858224,0.0001689208,0.000140359],"domain_scores_gemma":[0.9980602,0.0005249625,0.0007985177,0.0001398035,0.0001808425,0.0002957817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003822347,0.00001142416,0.998604,0.000002766892,0.00003265344,0.00002591791,0.00005192946,0.00002615633,0.00002469599,0.0000130845,0.00003047856,0.001138744],"study_design_scores_gemma":[0.000001154485,0.00002587265,0.9996821,0.000002848733,0.00001054467,0.00004465229,0.0001058746,0.00005074051,0.00001515111,0.00001372808,0.00004647729,0.000001044302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988565,0.0002765086,0.00007012728,0.00004197959,0.000004644588,0.000008251353,0.0002137101,0.000001175631,0.0005269784],"genre_scores_gemma":[0.9997308,0.00007466714,0.00002333851,0.000009228733,0.000002951073,0.000001853107,0.00009365519,2.994202e-7,0.00006320647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02133822,"threshold_uncertainty_score":0.04242802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008761598280777598,"score_gpt":0.3276966633378709,"score_spread":0.3189350650570933,"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."}}