{"id":"W4380357843","doi":"10.1186/s12890-023-02495-4","title":"Use of data mining approaches to explore the association between type 2 diabetes mellitus with SARS-CoV-2","year":2023,"lang":"en","type":"article","venue":"BMC Pulmonary Medicine","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medicine; Diabetes mellitus; Internal medicine; Confounding; Logistic regression; Population; Type 2 Diabetes Mellitus; Blood urea nitrogen; Creatinine; Environmental health; Endocrinology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002751213,0.000203512,0.0007056351,0.0002228669,0.0001114015,0.00001066502,0.0004730964,0.00009279769,0.00001293866],"category_scores_gemma":[0.03978563,0.0001099359,0.00004859624,0.001607031,0.0002732596,0.0001791755,0.0006776725,0.0003039301,0.00004884975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001126612,"about_ca_system_score_gemma":0.0002226924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001413991,"about_ca_topic_score_gemma":0.00002848427,"domain_scores_codex":[0.9970082,0.0002089617,0.0005242024,0.0005263463,0.001237466,0.0004948222],"domain_scores_gemma":[0.9834688,0.01476004,0.0001986541,0.001193865,0.0002232997,0.0001553706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000471001,0.0001007093,0.9512972,0.000708363,0.0005033829,0.00004461821,0.00122927,0.00003959744,0.002072303,0.0000169051,0.02084814,0.02266848],"study_design_scores_gemma":[0.001015138,0.001675367,0.9251413,0.001155916,0.0007114723,0.000001122791,0.001325163,0.006048088,0.000913867,0.000093174,0.06170521,0.000214174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959562,0.0005002637,0.000182119,0.03810969,0.000119576,0.001017334,0.00006228171,0.0001365192,0.0003102143],"genre_scores_gemma":[0.9947899,0.0005262705,0.00122687,0.001049021,0.0007976816,0.00006089519,0.0005299091,0.00004165453,0.0009777948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04085707,"threshold_uncertainty_score":0.9683027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6536555028648227,"score_gpt":0.4570794540510447,"score_spread":0.196576048813778,"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."}}