{"id":"W3027668379","doi":"10.1111/cob.12368","title":"Comparing the predictive ability of the Edmonton Obesity Staging System with the body mass index for use of health services and pharmacotherapies in Australian adults: A nationally representative cross‐sectional study","year":2020,"lang":"en","type":"article","venue":"Clinical Obesity","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Overweight; Body mass index; Polypharmacy; Obesity; Logistic regression; Waist; Statistic; Gerontology; Demography; Statistics; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002187831,0.0001891672,0.0007064426,0.00002439615,0.0002568122,0.00003820401,0.0002967222,0.00006841441,0.000003231897],"category_scores_gemma":[0.0002477461,0.00009769361,0.0001671349,0.000302376,0.0006633672,0.0002283417,0.0002105389,0.0005841923,2.778887e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001246863,"about_ca_system_score_gemma":0.0001689176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002366232,"about_ca_topic_score_gemma":0.0009625587,"domain_scores_codex":[0.9966361,0.00115258,0.0008812067,0.0005118954,0.000609307,0.0002088997],"domain_scores_gemma":[0.9958699,0.002465404,0.0007374219,0.0003714062,0.0004438588,0.000111967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002370889,0.004405354,0.9884865,0.0009479233,0.0003183782,0.000001096487,0.002872955,0.0003875922,0.00005178433,0.0001106208,0.0000224367,0.00002446242],"study_design_scores_gemma":[0.003680955,0.001043415,0.9736946,0.0002424052,0.00008864125,9.275597e-7,0.004935995,0.01601595,0.00013637,0.00007390933,0.000007449406,0.00007943946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944257,0.00002852297,0.0002563495,0.001867667,0.00007248545,0.003192157,0.0001166637,0.00002807268,0.00001236083],"genre_scores_gemma":[0.999392,0.00000606504,0.00007785793,0.0003032953,0.0001289593,0.00006398814,0.000006413612,0.00001327011,0.00000809926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01562835,"threshold_uncertainty_score":0.398383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07957361738069478,"score_gpt":0.3954413101170491,"score_spread":0.3158676927363543,"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."}}