{"id":"W3120854565","doi":"10.1097/jom.0000000000002135","title":"Occupations Associated With Poor Cardiovascular Health in Women","year":2021,"lang":"en","type":"article","venue":"Journal of Occupational and Environmental Medicine","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Workplace Health, Safety and Compensation Commission","funders":"National Heart, Lung, and Blood Institute","keywords":"Marital status; Logistic regression; Medicine; Odds; Ethnic group; Cardiovascular health; Gerontology; Audit; Demography; Bookkeeping; Odds ratio; Environmental health; Disease; Accounting; Sociology; Population","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":[0.0002342325,0.0001356725,0.0001214742,0.0004677539,0.0003898674,0.0003504875,0.0001351735,0.000146096,0.004293631],"category_scores_gemma":[0.001374149,0.00009463608,0.0001464299,0.0004596009,0.0002612775,0.0001137337,0.000295263,0.0001641523,0.0002895032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001840592,"about_ca_system_score_gemma":0.0003095593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005015031,"about_ca_topic_score_gemma":0.007666437,"domain_scores_codex":[0.9998176,0.00005095373,0.00001289073,0.00002511713,0.00003540861,0.00005817379],"domain_scores_gemma":[0.9991757,0.0001255516,0.0004398679,0.00002262024,0.00006416685,0.000171986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000254531,0.00001106283,0.998031,0.000008088086,0.000008883668,0.00004267655,0.00007397598,0.00001175496,0.0001316432,0.000009662711,0.0000733327,0.001572523],"study_design_scores_gemma":[0.000001096373,0.00003728834,0.9993708,0.000009648831,0.000006250821,0.0001254089,0.0002235961,0.00002431427,0.00002983904,0.00001928965,0.0001515335,0.000001006173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985167,0.0002979303,0.00003938548,0.00009807137,0.000006502811,0.000002953869,0.0001352328,0.000002955109,0.0009002325],"genre_scores_gemma":[0.9996253,0.00009262194,0.00003190585,0.00001500354,0.000007035881,0.000001768425,0.00004736562,5.76065e-7,0.0001783686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005015031,"threshold_uncertainty_score":0.01436359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02747030362400376,"score_gpt":0.341814322432076,"score_spread":0.3143440188080723,"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."}}