{"id":"W6958656073","doi":"10.6084/m9.figshare.16944410.v1","title":"Additional file 2 of Prevalences of metabolic syndrome and its sex-specific association with socioeconomic status in rural China: a cross-sectional study","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Nuclear Issues and Defense","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Metabolic syndrome; Socioeconomic status; Association (psychology); Rural population; Obesity; Cross-sectional study","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":[0.00009410673,0.000063124,0.0001749051,0.000042454,0.0001128887,0.0000518773,0.00006399744,0.00006291538,0.9588479],"category_scores_gemma":[0.0005551368,0.00006243795,0.00003682029,0.0001378261,0.0000197861,0.0002049667,0.00003831732,0.00008225156,0.0001975529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000057705,"about_ca_system_score_gemma":0.0001845296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009802841,"about_ca_topic_score_gemma":0.0006071498,"domain_scores_codex":[0.9991044,0.0001115542,0.0001885513,0.0001511923,0.0002882181,0.0001560252],"domain_scores_gemma":[0.9990493,0.0005123892,0.0001898488,0.0000551933,0.0001504242,0.00004281823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003943709,0.0003925108,0.1984979,0.00009394101,0.000125469,0.00003027179,0.01084841,0.00003651525,0.000006463343,0.0001884626,0.7891198,0.0006207941],"study_design_scores_gemma":[0.0002099595,0.0000511949,0.9009898,0.0001209068,0.000002659848,0.00000272189,0.002330024,0.000009038811,0.000006081499,0.00004236878,0.09617054,0.00006476074],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4257838,0.0002377784,1.368233e-9,0.000006946113,0.00001130526,0.0000976075,0.5725432,0.000005861943,0.001313463],"genre_scores_gemma":[0.9025867,0.0000244945,0.00002997408,0.000006366282,0.0000538295,0.0001047869,0.09494743,0.000006578505,0.002239826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9586504,"threshold_uncertainty_score":0.2546146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117628176446134,"score_gpt":0.2800539976038895,"score_spread":0.2588777158394281,"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."}}