{"id":"W2978588040","doi":"10.29309/tpmj/2019.26.10.3721","title":"Impact of BMI on serum uric acid levels in females in local population.","year":2019,"lang":"en","type":"article","venue":"The Professional Medical Journal","topic":"Gout, Hyperuricemia, Uric Acid","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Continental (Canada)","funders":"","keywords":"Medicine; Uric acid; Hyperuricemia; Body mass index; Internal medicine; Population; Gastroenterology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002624076,0.0001397168,0.0002226742,0.0004995163,0.0003017439,0.0003770855,0.0001146348,0.0002399624,0.00344711],"category_scores_gemma":[0.001299226,0.0001831957,0.0002764772,0.0004880827,0.0001998495,0.0002692234,0.0002929078,0.0003527057,0.0002615921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001864585,"about_ca_system_score_gemma":0.0002090172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004153377,"about_ca_topic_score_gemma":0.006540597,"domain_scores_codex":[0.9997717,0.00006441506,0.0000178405,0.000037112,0.00005226763,0.00005657404],"domain_scores_gemma":[0.9993194,0.000123535,0.0003113323,0.00002618406,0.00006292178,0.0001566536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009719271,0.00004962736,0.9976477,0.00001710352,0.00002318637,0.0002199068,0.0001183414,0.00001275842,0.0001817571,0.00001309405,0.00009348277,0.001525873],"study_design_scores_gemma":[0.000001892793,0.0001135657,0.9991241,0.000006755606,0.00001271419,0.0003124557,0.0002652354,0.00003813681,0.00002133326,0.00001051121,0.00009142282,0.000001827099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987093,0.0004709701,0.0000204491,0.0001014702,0.000005903968,0.000003611806,0.00007710158,0.000002015023,0.0006092566],"genre_scores_gemma":[0.9995146,0.000166,0.00001897204,0.00002381499,0.00001046036,0.000002305018,0.00006644792,9.446449e-7,0.0001965003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004153377,"threshold_uncertainty_score":0.01153177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03316165040261397,"score_gpt":0.37551505556779,"score_spread":0.342353405165176,"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."}}