{"id":"W3040681673","doi":"10.22374/ijmsch.v3i1.42","title":"COVID-19, Equity and Men’s Health","year":2020,"lang":"en","type":"article","venue":"International Journal of Men s Social and Community Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fulbright Australia; US-UK Fulbright Commission","keywords":"Pandemic; Public health; Health equity; Poverty; Social determinants of health; Coronavirus disease 2019 (COVID-19); Political science; Race and health; Global health; Economic growth; Equity (law); Scholarship; Epidemiology; Social epidemiology; Development economics; Medicine; Disease; Infectious disease (medical specialty); Economics; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004931591,0.00008244101,0.0003136431,0.00005401022,0.002415706,0.0001312339,0.0004680782,0.00005783176,0.00008938378],"category_scores_gemma":[0.001108285,0.00007777007,0.0000584285,0.00008210968,0.0002324653,0.0002040641,0.0003180577,0.0006959117,0.000001200888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007399984,"about_ca_system_score_gemma":0.00374446,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1338728,"about_ca_topic_score_gemma":0.01787743,"domain_scores_codex":[0.9966962,0.001780434,0.0005015898,0.00007075074,0.0006523401,0.0002986997],"domain_scores_gemma":[0.9974174,0.0004736474,0.0004939014,0.00004376906,0.0001813272,0.001389989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003327572,0.0002880656,0.04405832,0.0005695839,0.000159164,0.00001693666,0.5489124,0.000002978335,0.000001901581,0.1505051,0.1183327,0.13682],"study_design_scores_gemma":[0.002025808,0.0005886385,0.08235102,0.0001013553,0.00000978517,0.0000265268,0.234307,0.00003903428,8.008261e-7,0.0235939,0.6567731,0.0001831055],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0658977,0.00146442,0.0003309019,0.9244707,0.0002790703,0.0001349533,0.00004089977,0.00002052936,0.007360792],"genre_scores_gemma":[0.8500333,0.005782656,0.0001574052,0.1432499,0.0007168403,0.000001291131,0.000003532944,0.000005043872,0.00004993303],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7841356,"threshold_uncertainty_score":0.998883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2127566052749075,"score_gpt":0.5062977693940293,"score_spread":0.2935411641191218,"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."}}