{"id":"W2530087407","doi":"10.1016/j.jcjd.2016.08.221","title":"Screening for Cystic Fibrosis-Related Diabetes: Matching Pathophysiology and Addressing Current Challenges","year":2016,"lang":"en","type":"review","venue":"Canadian Journal of Diabetes","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôtel-Dieu de Montréal; Centre Hospitalier de l’Université de Montréal; Université de Montréal; Montreal Clinical Research Institute","funders":"Canadian Institutes of Health Research; Association Vaincre la Mucoviscidose; Fonds de Recherche du Québec - Santé; Cystic Fibrosis Canada; Cystic Fibrosis Foundation","keywords":"Medicine; Cystic fibrosis-related diabetes; Cystic fibrosis; Glycated hemoglobin; Diabetes mellitus; Type 2 diabetes; Intensive care medicine; Disease; Screening test; Internal medicine; Impaired glucose tolerance; Pediatrics; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008257382,0.0005068781,0.002607564,0.001020352,0.0002244852,0.0000944157,0.0003181322,0.0003090056,0.00005362455],"category_scores_gemma":[0.002055094,0.0003490048,0.000615511,0.0001908291,0.0003382835,0.0002185631,0.00004963841,0.0008289319,0.000007895605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002910594,"about_ca_system_score_gemma":0.001992126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000977535,"about_ca_topic_score_gemma":0.00008149936,"domain_scores_codex":[0.9968394,0.0002674207,0.00111344,0.0004185296,0.0002828422,0.001078382],"domain_scores_gemma":[0.9948258,0.002221743,0.0009062566,0.0002990609,0.0003173689,0.001429765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004953455,0.0000108653,0.00007124092,0.02633514,0.0003642977,0.00001527913,0.00007352916,7.865486e-7,0.00007254061,0.0000378575,0.0002969847,0.9727165],"study_design_scores_gemma":[0.00112297,0.0008636217,0.0003835646,0.2573277,0.001197244,0.00003290128,0.00005862544,0.00002238321,0.000007469755,0.002300842,0.7362111,0.0004715336],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001204288,0.9967285,0.00007296645,0.0002659633,0.0006018422,0.0007403638,0.0003484548,0.0000129651,0.00002459671],"genre_scores_gemma":[0.0007402325,0.9956414,0.002589615,0.00003130191,0.0007306665,0.00006097654,0.00005673124,0.0001195058,0.00002960207],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.972245,"threshold_uncertainty_score":0.9998962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07021710899957963,"score_gpt":0.3537237710724303,"score_spread":0.2835066620728507,"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."}}