{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"2fb385202941","filters":{"venue":"Journal of Endocrinology Metabolism and Diabetes of South Africa"}},"results":[{"id":"W2121349266","doi":"10.1080/22201009.2011.10872251","title":"Differences in MetS marker prevalence between black African and Caucasian teachers from the North West Province: Sympathetic Activity and Ambulatory Blood Pressure in Africans (SABPA) Study","year":2011,"lang":"en","type":"article","venue":"Journal of Endocrinology Metabolism and Diabetes of South Africa","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Science North","funders":"National Research Foundation","keywords":"Medicine; Anthropometry; Blood pressure; Waist; Microalbuminuria; Internal medicine; Demography; Metabolic syndrome; Population; Risk factor; Ambulatory blood pressure; Body mass index; Obesity; Environmental health","authors":[{"name":"Svelka Hoebel","is_ca":false},{"name":"Leoné Malan","is_ca":false},{"name":"H de Ridder","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02206443719098537,"gpt":0.2203967131267956,"spread":0.1983322759358102,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004480528,0.0002523779,0.000344854,0.0007187154,0.0008368806,0.0004005494,0.0002291265,0.0003074498,0.001562331],"category_scores_gemma":[0.0006774343,0.0002737572,0.0002437998,0.0006272771,0.0002395078,0.0003355887,0.0003551588,0.000279477,0.0002484929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002699405,"about_ca_system_score_gemma":0.0003776453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01680152,"about_ca_topic_score_gemma":0.02772035,"domain_scores_codex":[0.9997399,0.00006430424,0.00002046689,0.00005004363,0.00005223244,0.00007304201],"domain_scores_gemma":[0.9997559,0.00002893779,0.00007802525,0.00001284637,0.0000371093,0.00008711139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001329923,0.0001220145,0.9967385,0.00001778652,0.00002321176,0.0001069317,0.0009367389,0.000005183667,0.0006082396,0.00001889123,0.00007183154,0.001217584],"study_design_scores_gemma":[0.000009885101,0.00007904955,0.9981562,0.000008435571,0.00001776934,0.0001313674,0.001384554,0.00003131058,0.00004813592,0.000008977931,0.0001223679,0.000001927936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999661,0.00005723644,0.00002011943,0.00001787155,0.000002338334,0.000005770843,0.00005099086,5.440978e-7,0.0001840807],"genre_scores_gemma":[0.9996339,0.00006812315,0.00004487866,0.00001709234,0.00000511374,0.00001011137,0.00007673146,8.526875e-7,0.0001431153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01680152,"threshold_uncertainty_score":0.03340745,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2128695643","doi":"10.1080/22201009.2013.10872311","title":"Determining ethnic-, gender-, and age-specific waist circumference cut-off points to predict metabolic syndrome: the Sympathetic Activity and Ambulatory Blood Pressure in Africans (SABPA) study","year":2013,"lang":"en","type":"article","venue":"Journal of Endocrinology Metabolism and Diabetes of South Africa","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Science North","funders":"","keywords":"Waist; Medicine; Anthropometry; Demography; Confidence interval; Metabolic syndrome; Cohort; Circumference; Prospective cohort study; Odds ratio; Population; Receiver operating characteristic; Cohort study; Internal medicine; Gerontology; Body mass index; Obstetrics; Obesity","authors":[{"name":"Svelka Hoebel","is_ca":true},{"name":"Leoné Malan","is_ca":false},{"name":"JH De Ridder","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02851582071901597,"gpt":0.2454045657324478,"spread":0.2168887450134318,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001454957,0.0004562987,0.0003545414,0.0006903043,0.0004240816,0.0005143392,0.0002459231,0.0003879243,0.000923764],"category_scores_gemma":[0.003894893,0.0002675698,0.0003998295,0.0004426347,0.0002108599,0.0003000268,0.0004041649,0.0003691049,0.000277676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001263368,"about_ca_system_score_gemma":0.0002952002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002072212,"about_ca_topic_score_gemma":0.003581873,"domain_scores_codex":[0.9995306,0.0002258355,0.00004714383,0.00005900542,0.00007790863,0.00005954857],"domain_scores_gemma":[0.9991511,0.0001727373,0.0003100231,0.00007028189,0.0001507705,0.0001449766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001454232,0.0000410697,0.9981059,0.000007204092,0.0000308752,0.00003220049,0.00009550504,0.00002573326,0.0003924872,0.000007681488,0.00004806121,0.00106782],"study_design_scores_gemma":[0.00002782926,0.0001951478,0.9983472,0.0000145424,0.00004181813,0.0002608588,0.0003113576,0.0003957545,0.0002061726,0.00002574375,0.0001701168,0.000003529379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993804,0.00009529707,0.000230801,0.00002145171,0.000004836741,0.00002000343,0.00009113389,0.000002434986,0.000153639],"genre_scores_gemma":[0.9991484,0.00006409885,0.0004587472,0.00001280989,0.000007603877,0.00002398957,0.0001596144,0.000001987024,0.0001226222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002072212,"threshold_uncertainty_score":0.007694662,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}