{"id":"W1545716035","doi":"10.1111/j.1752-9824.2011.01110.x","title":"Testing a prediabetes screening approach for a Latin American population in Vancouver, Canada","year":2011,"lang":"en","type":"article","venue":"Journal of Nursing and Healthcare of Chronic Illness","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health; University of British Columbia","funders":"Pan American Health Organization; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Public Health Agency; Public Health Agency of Canada","keywords":"Prediabetes; Latin Americans; Medicine; Population; Demography; Gerontology; Family medicine; Environmental health; Political science; Sociology; Diabetes mellitus; Endocrinology; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001051259,0.0003512194,0.0002733691,0.001172095,0.004467816,0.001057325,0.001165958,0.0003827238,0.001868669],"category_scores_gemma":[0.002113124,0.0003527887,0.0002856971,0.002274269,0.0006679673,0.0002684342,0.001062076,0.0005812418,0.0002846569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02012018,"about_ca_system_score_gemma":0.03350061,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9903784,"about_ca_topic_score_gemma":0.9956808,"domain_scores_codex":[0.9991216,0.0001158862,0.00005025402,0.0001069552,0.0002948991,0.0003103482],"domain_scores_gemma":[0.9979472,0.000110062,0.0001587292,0.00003809196,0.001100545,0.0006454414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001665538,0.0003954929,0.9523108,0.0001185222,0.00003219535,0.0007520849,0.004872636,0.0001629803,0.001032035,0.0001382491,0.003924861,0.03609346],"study_design_scores_gemma":[0.00004765266,0.000182611,0.9819117,0.0001247897,0.00002795311,0.0002113043,0.01327024,0.0005331993,0.0002183683,0.00005389793,0.003390449,0.0000278342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904282,0.0006953276,0.0002986003,0.001066094,0.00002245443,0.0005430895,0.0007231329,0.0000175161,0.006205585],"genre_scores_gemma":[0.9932017,0.001168535,0.001392435,0.0009067149,0.00001099219,0.0002620191,0.0006176104,0.000008883556,0.002431126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02012018,"threshold_uncertainty_score":0.1459828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04867081857445281,"score_gpt":0.2918451009080876,"score_spread":0.2431742823336348,"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."}}