{"id":"W4308434510","doi":"10.1016/j.socscimed.2022.115511","title":"Reconceptualizing successful pandemic preparedness and response: A feminist perspective","year":2022,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Canadian Institutes of Health Research","keywords":"Preparedness; Pandemic; Public health; Political science; Economic growth; Health equity; Public relations; Environmental health; Medicine; Coronavirus disease 2019 (COVID-19); Economics; Disease; Nursing; Infectious disease (medical specialty)","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":[0.00532366,0.0001409933,0.000385422,0.0003649045,0.001487796,0.00004992476,0.000513446,0.00004817998,0.0008882786],"category_scores_gemma":[0.003056198,0.0001541013,0.00004226362,0.001391391,0.001834093,0.0002641942,0.0002646035,0.0002972007,0.00001249557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002373556,"about_ca_system_score_gemma":0.0004723058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00186466,"about_ca_topic_score_gemma":0.0000328571,"domain_scores_codex":[0.9981368,0.0000821435,0.0004163363,0.0006678816,0.0002119213,0.0004849171],"domain_scores_gemma":[0.9989382,0.0002910309,0.000327941,0.0002089666,0.00005957648,0.0001742667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002745079,0.00004911658,0.2879717,0.00001310415,0.00002014207,0.00001469385,0.6024946,0.000007135204,0.001178757,0.1029466,0.002892907,0.002136756],"study_design_scores_gemma":[0.004597194,0.001000508,0.1548594,0.00006088598,0.00003761585,0.0001377125,0.4900025,0.0006794272,0.00005188123,0.09714774,0.2502435,0.001181584],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967209,0.001255083,0.0000851865,0.004870231,0.0007333247,0.0002338363,0.00006198495,0.00007010957,0.02548128],"genre_scores_gemma":[0.9967024,0.00002896229,0.000009654936,0.002321402,0.0002678999,0.00004251429,0.000001963867,0.00001386423,0.000611375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2473506,"threshold_uncertainty_score":0.9998121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06667961116191047,"score_gpt":0.343045094954004,"score_spread":0.2763654837920935,"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."}}