{"id":"W4225631574","doi":"","title":"SARS-CoV-2, diabetes and mortality: month by month variation in mortality rate from June 2020 to June 2021","year":2022,"lang":"en","type":"article","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Mortality rate; 2019-20 coronavirus outbreak; Variation (astronomy); Demography; Diabetes mellitus; Emergency medicine; Virology; Internal medicine; Disease; Outbreak; Endocrinology; Infectious disease (medical specialty)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001340017,0.0002347774,0.0003501639,0.001817945,0.0002840886,0.0009720473,0.0003290485,0.000315173,0.002409323],"category_scores_gemma":[0.005761432,0.0001563013,0.0005005467,0.003662995,0.0001821793,0.0005377293,0.0006784934,0.0005593816,0.0009644295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000466502,"about_ca_system_score_gemma":0.0003467189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01027311,"about_ca_topic_score_gemma":0.01190513,"domain_scores_codex":[0.9984692,0.00037596,0.0003107771,0.0003592679,0.0003222538,0.0001625412],"domain_scores_gemma":[0.9954345,0.0007027775,0.002578021,0.0002638157,0.0007130571,0.0003078353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000211956,0.00001730795,0.9858743,0.00009856522,0.0001212033,0.00005035486,0.0001573599,0.0002890414,0.0001122518,0.0001277966,0.005491407,0.007448467],"study_design_scores_gemma":[0.000003572967,0.00004649167,0.9953361,0.00005690323,0.00002899691,0.0001904409,0.0001576399,0.0004376994,0.00006656006,0.00006288494,0.003603318,0.000009487897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8836576,0.005442166,0.001362549,0.001033253,0.0002238673,0.00004282912,0.1027065,0.000130999,0.005400144],"genre_scores_gemma":[0.9554761,0.002489178,0.001041541,0.0002197665,0.000253149,0.00007305265,0.03953487,0.00004894234,0.0008633846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01027311,"threshold_uncertainty_score":0.02042669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04156311488199308,"score_gpt":0.3317357328970348,"score_spread":0.2901726180150417,"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."}}