{"id":"W2037420967","doi":"10.1038/sj.ijo.0802896","title":"Impact of morbid obesity on medical expenditures in adults","year":2005,"lang":"en","type":"article","venue":"International Journal of Obesity","topic":"Bariatric Surgery and Outcomes","field":"Medicine","cited_by":270,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Health Services and Policy Research","funders":"","keywords":"Medicine; Overweight; Medical Expenditure Panel Survey; Obesity; Body mass index; Health care; Odds ratio; Per capita; Confidence interval; Population; Demography; Gerontology; National Health Interview Survey; Environmental health; Health insurance; Internal medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005924443,0.0001004574,0.0003409155,0.0003426961,0.00001166065,0.00000648798,0.0002493308,0.0001034069,0.001319035],"category_scores_gemma":[0.0006401406,0.00007047531,0.0003377362,0.00006812282,0.00003842874,0.0001440243,0.00003666109,0.0003817866,0.00001710535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002524973,"about_ca_system_score_gemma":0.0002809867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001462836,"about_ca_topic_score_gemma":0.00003949669,"domain_scores_codex":[0.9981366,0.00005672266,0.0005600219,0.00009214687,0.001033314,0.000121226],"domain_scores_gemma":[0.9989366,0.0002507472,0.000308735,0.00009805899,0.0002406838,0.0001652112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001630563,0.001422057,0.9851772,0.00000918262,0.0001947957,0.0005898666,0.0002040725,0.00008262403,0.00009286762,0.0001599025,0.002061815,0.008375064],"study_design_scores_gemma":[0.002358896,0.0002896889,0.9944519,0.0003393537,0.00001766692,0.0005447672,0.00002383992,0.0001172455,0.001381315,0.0001037566,0.0003160459,0.00005550395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964471,0.0001609767,0.00006985944,0.001680471,0.0005786469,0.00005075179,0.000006984674,0.000005162982,0.0009999765],"genre_scores_gemma":[0.9982486,0.0001338108,0.0002764518,0.0003241175,0.00094866,3.793103e-7,0.000003741796,0.000005718519,0.00005853947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009274731,"threshold_uncertainty_score":0.9995939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436465670659843,"score_gpt":0.3354440211996643,"score_spread":0.3210793644930658,"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."}}