{"id":"W2101932310","doi":"10.1111/j.1464-5491.2005.01447.x","title":"Screening for diabetes in Indigenous populations using glycated haemoglobin: sensitivity, specificity, post‐test likelihood and risk of disease","year":2005,"lang":"en","type":"article","venue":"Diabetic Medicine","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Diabetes mellitus; Internal medicine; Glycated haemoglobin; Type 2 diabetes; Likelihood ratios in diagnostic testing; Predictive value; Endocrinology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01218387,0.0003611021,0.0006442217,0.00139069,0.000276748,0.0007502486,0.0004354935,0.0005021101,0.0007520184],"category_scores_gemma":[0.02811931,0.0002185944,0.0008819712,0.0009882479,0.0006491047,0.0005783935,0.0005498189,0.0004456609,0.0001173738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004019051,"about_ca_system_score_gemma":0.0005026518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008744281,"about_ca_topic_score_gemma":0.009823537,"domain_scores_codex":[0.9947689,0.003027649,0.0003632534,0.0004995699,0.001162395,0.000178313],"domain_scores_gemma":[0.9839818,0.0103589,0.003235014,0.00068797,0.001350055,0.0003863536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00017736,0.00002649834,0.9946755,0.00004866875,0.0005631169,0.00002436534,0.0001294787,0.0001794071,0.0001591431,0.00001407233,0.00003527875,0.003967049],"study_design_scores_gemma":[0.00000573327,0.0001573038,0.99804,0.00001903321,0.0002546164,0.0001325574,0.0001154216,0.001023451,0.0001336571,0.00004900057,0.00006317603,0.000006050777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972766,0.001158651,0.0007385979,0.00007434723,0.000007118718,0.00002668116,0.0002107505,0.000009248344,0.0004979966],"genre_scores_gemma":[0.9991822,0.0001533253,0.0004239582,0.00001245284,0.00001219616,0.00001195141,0.000134912,0.000001511268,0.00006756936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01218387,"threshold_uncertainty_score":0.06443518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02800683667496196,"score_gpt":0.2772973497664236,"score_spread":0.2492905130914617,"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."}}