{"id":"W3016560194","doi":"10.1089/jwh.2020.8472","title":"Sex and Gender Disparities in the COVID-19 Pandemic","year":2020,"lang":"en","type":"letter","venue":"Journal of Women s Health","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":306,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Pandemic; Population; Political science; Health department; Coronavirus disease 2019 (COVID-19); Gerontology; Economic growth; Medicine; Demography; Sociology; Disease; Nursing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006553636,0.0007286821,0.00130284,0.001503412,0.00385592,0.003132399,0.00308052,0.01919637,0.02535459],"category_scores_gemma":[0.03735625,0.0005105895,0.001653593,0.001681744,0.00451386,0.004040932,0.002683043,0.01333186,0.002944743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005541996,"about_ca_system_score_gemma":0.008434713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03402559,"about_ca_topic_score_gemma":0.05295913,"domain_scores_codex":[0.9948001,0.002832368,0.00022847,0.0004967884,0.0008471651,0.0007949998],"domain_scores_gemma":[0.9815267,0.0149617,0.0007709348,0.0002751528,0.001331426,0.001134131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001024309,0.00002756749,0.001012445,0.001154739,0.00007582372,0.0001448949,0.00159677,0.00003333692,0.00003461252,0.007267376,0.9713582,0.01719182],"study_design_scores_gemma":[0.0001121673,0.0001345256,0.005596974,0.01823241,0.000188641,0.00026804,0.004250527,0.00008830967,0.00009359724,0.009688423,0.961274,0.00007244197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001147311,0.05099763,0.00004218967,0.9032013,0.03556043,0.00001867209,0.0003138958,0.00001156333,0.008706979],"genre_scores_gemma":[0.01984223,0.05133566,0.00006967357,0.8123651,0.1105196,0.0001028309,0.0001492971,0.00003430433,0.005581248],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03402559,"threshold_uncertainty_score":0.08481956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1407780428901284,"score_gpt":0.4051229572989489,"score_spread":0.2643449144088205,"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."}}