{"id":"W2102299732","doi":"10.4236/ojepi.2015.54026","title":"Determination of the Optimal Waist Circumference Cut-Off Points in Benin Adults","year":2015,"lang":"en","type":"article","venue":"Open Journal of Epidemiology","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Waist; Metabolic syndrome; Abdominal obesity; Circumference; Obesity; Receiver operating characteristic; Youden's J statistic; Internal medicine; Diabetes mellitus; Endocrinology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007640744,0.0001201577,0.00102417,0.0001231915,0.00002538108,0.000007181553,0.0005341843,0.0001335299,0.00006738211],"category_scores_gemma":[0.01039607,0.00007608507,0.000288592,0.0001714394,0.000168687,0.0001876035,0.0001657722,0.0004031632,0.000008535778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009316948,"about_ca_system_score_gemma":0.0003120647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001373628,"about_ca_topic_score_gemma":0.0003573482,"domain_scores_codex":[0.9972947,0.001067941,0.0009928963,0.0001698189,0.0002213091,0.0002532998],"domain_scores_gemma":[0.9978415,0.0004453253,0.0007612152,0.0003772221,0.0003936176,0.0001811168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001179713,0.0002543619,0.1479637,0.00006708797,0.0001889939,0.0001153696,0.0009951331,0.0002868997,0.00008417858,0.0003317423,0.003023983,0.8455088],"study_design_scores_gemma":[0.009684224,0.002136784,0.9549745,0.001297813,0.0002855916,0.001436793,0.0007384249,0.001860038,0.00178406,0.005205282,0.02036406,0.0002324703],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886994,0.002268983,0.001513982,0.003071247,0.0005512401,0.0004607763,0.000004773756,0.000002713247,0.003426858],"genre_scores_gemma":[0.9885717,0.0001945902,0.01033907,0.0005308087,0.0001949179,0.000007116327,0.000003726418,0.00001242111,0.0001456633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8452764,"threshold_uncertainty_score":0.9979398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08331580498066028,"score_gpt":0.3543496822696153,"score_spread":0.2710338772889551,"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."}}