{"id":"W3120993947","doi":"10.1089/andro.2020.0012","title":"What’s Testosterone Got to Do with It? A Critical Assessment of the Contribution of Testosterone to Gender Disparities in COVID-19 Infections and Deaths","year":2021,"lang":"en","type":"article","venue":"Androgens Clinical Research and Therapeutics","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Testosterone (patch); Demography; Coronavirus disease 2019 (COVID-19); Mortality rate; Disease; Gerontology; Internal medicine; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002107868,0.0001172116,0.0004042241,0.0001652718,0.0001237286,0.00007483755,0.00006865764,0.00011839,0.00002213867],"category_scores_gemma":[0.006457333,0.00008128848,0.00005099865,0.0007209227,0.000611341,0.0001164218,0.000204096,0.0004638851,0.000001035672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001236875,"about_ca_system_score_gemma":0.001039445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001168104,"about_ca_topic_score_gemma":0.0005907083,"domain_scores_codex":[0.9977243,0.0004542828,0.0005050295,0.0004019478,0.0005681991,0.0003462236],"domain_scores_gemma":[0.9948971,0.003265499,0.00005186462,0.0004965039,0.0008028164,0.0004862394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007330028,0.001117776,0.9822755,0.0002126682,0.0001529969,0.000026458,0.000543843,0.00001089842,0.006199697,0.003510013,0.00006600672,0.005151075],"study_design_scores_gemma":[0.003660142,0.006744965,0.9730955,0.0006385114,0.0001698341,0.0001971389,0.002267545,0.0001173243,0.004265022,0.002906741,0.005772708,0.0001645219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9377015,0.001238927,0.001064877,0.0591026,0.00009767071,0.0007210752,0.00001947183,0.000007477575,0.00004635705],"genre_scores_gemma":[0.9916896,0.002748045,0.0004058525,0.004994901,0.00005179992,0.00003894463,0.000006111553,0.00001292252,0.00005185942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0541077,"threshold_uncertainty_score":0.7730497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2641169991890556,"score_gpt":0.5501658953668759,"score_spread":0.2860488961778203,"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."}}