{"id":"W2165913959","doi":"10.1038/oby.2006.106","title":"Population‐Based Analysis of Obesity and Workforce Participation","year":2006,"lang":"en","type":"article","venue":"Obesity","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"University of Alberta","keywords":"Workforce; Obesity; Medicine; Odds; Odds ratio; Gerontology; Socioeconomic status; Demography; Population; Logistic regression; Body mass index; Environmental health; Internal medicine; Sociology; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008942419,0.0001691051,0.0002004891,0.001207299,0.0003566087,0.0003558664,0.0003106641,0.0001800023,0.001141989],"category_scores_gemma":[0.002200996,0.0001227428,0.0003373652,0.00174679,0.0002054554,0.0001305294,0.0002991984,0.0002911781,0.0001010822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001378901,"about_ca_system_score_gemma":0.001916887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.494121,"about_ca_topic_score_gemma":0.5417702,"domain_scores_codex":[0.9994394,0.000101519,0.00002512761,0.00008061228,0.0002164361,0.0001368091],"domain_scores_gemma":[0.9993446,0.00008605042,0.0002001488,0.00004387625,0.0002087442,0.000116545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004933086,0.00001826553,0.9970509,0.00001184892,0.0000751119,0.00002471524,0.00005998011,0.00007888283,0.0001061755,0.00002511705,0.0002301774,0.002269452],"study_design_scores_gemma":[0.000001539338,0.00001216446,0.9996996,0.000002373221,0.00000670236,0.00002119572,0.00004161553,0.00006327029,0.000009729164,0.000006158502,0.0001343714,0.000001256961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968634,0.0003304668,0.0001765447,0.00004957169,0.000004718475,0.00001690671,0.001850093,0.000007740582,0.0007006835],"genre_scores_gemma":[0.9983393,0.0001395482,0.0001021507,0.00001393374,0.000003759892,0.00001247047,0.001264718,0.000001415211,0.0001227373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.494121,"threshold_uncertainty_score":0.9824898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02995751162071797,"score_gpt":0.3811281309830378,"score_spread":0.3511706193623199,"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."}}