{"id":"W4283728534","doi":"10.1371/journal.pgph.0000640","title":"A gendered content analysis of the World Health Organization’s COVID-19 guidance and policies","year":2022,"lang":"en","type":"article","venue":"PLOS Global Public Health","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Canadian Institutes of Health Research","keywords":"Gender mainstreaming; Pandemic; Mainstreaming; Livelihood; Public health; Gender analysis; Coronavirus disease 2019 (COVID-19); Political science; Economic growth; Gender equality; Sociology; Gender studies; Geography; Medicine; Economics; Law; Agriculture; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001426176,0.00007227693,0.0002531103,0.0001609761,0.001815937,0.00007730772,0.0002936593,0.00001833797,0.0002050451],"category_scores_gemma":[0.0008876213,0.00006039167,0.00005933539,0.004116366,0.0001914371,0.00007001805,0.0001921158,0.00008217446,6.267662e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711234,"about_ca_system_score_gemma":0.005083855,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09634683,"about_ca_topic_score_gemma":0.04699161,"domain_scores_codex":[0.9971688,0.001090182,0.0003764134,0.0002136016,0.0007045733,0.0004464301],"domain_scores_gemma":[0.9986115,0.00008513216,0.0003615865,0.0002250666,0.0001732492,0.0005434832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000002123296,0.000191928,0.4113342,0.00005638344,0.0002688267,3.357111e-7,0.04220468,0.0003661797,0.000003479433,0.5316154,0.01358801,0.0003684552],"study_design_scores_gemma":[0.0005539148,0.00008166373,0.7439474,0.000006018974,0.00009650803,0.000003162309,0.09996384,0.0008360499,0.000003094287,0.00526645,0.149043,0.0001989114],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1959381,0.001026692,0.0007859665,0.795038,0.0002733029,0.0008026448,0.0006126947,0.00008201798,0.00544059],"genre_scores_gemma":[0.9734907,0.00009478,0.0000732718,0.02559733,0.00004020329,0.00001442157,0.00003593853,0.00000459935,0.0006487204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7775526,"threshold_uncertainty_score":0.9994836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1924078826896994,"score_gpt":0.3996736575686003,"score_spread":0.2072657748789009,"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."}}