{"id":"W2112972371","doi":"10.2337/diacare.24.2.257","title":"Productivity Losses Associated With Diabetes in the U.S.","year":2001,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Medicine; Diabetes mellitus; Earnings; Productivity; Workforce; Demography; Environmental health; Gerontology; Endocrinology; Finance","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":[0.0005040402,0.0003910332,0.000132045,0.0008090841,0.0002008208,0.0004907084,0.000204597,0.000222999,0.001988103],"category_scores_gemma":[0.002307114,0.00009045981,0.0004751499,0.0007914904,0.0002020601,0.0002634078,0.0005532662,0.000430003,0.0002668508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001382216,"about_ca_system_score_gemma":0.0005973664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01930641,"about_ca_topic_score_gemma":0.02165309,"domain_scores_codex":[0.9994819,0.0001874064,0.00004252397,0.00003848556,0.0001744986,0.00007524916],"domain_scores_gemma":[0.9991315,0.0001531397,0.0004171938,0.00002865651,0.000171903,0.00009760069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003643897,0.0001639009,0.929279,0.0001628374,0.0003904828,0.0003310339,0.0001411058,0.005821482,0.0002980176,0.0006381235,0.005202781,0.05720684],"study_design_scores_gemma":[0.000033178,0.0002438625,0.9888031,0.0001725646,0.0001089983,0.0005316946,0.0003096778,0.004476827,0.0002127538,0.0005929429,0.00450106,0.00001338199],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825644,0.005140595,0.0007133893,0.001485922,0.0001056292,0.0000378182,0.005600253,0.00003354788,0.004318451],"genre_scores_gemma":[0.9964231,0.001137597,0.0002450282,0.0001129096,0.00003262273,0.00001242191,0.001485649,0.000002165363,0.0005485529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01930641,"threshold_uncertainty_score":0.03838807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01995260484591701,"score_gpt":0.320258352842734,"score_spread":0.300305747996817,"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."}}