{"id":"W4390270379","doi":"10.1080/29949769.2023.2298220","title":"Mapping social work challenges and responses during COVID-19: a case study of social workers in South Korea","year":2023,"lang":"en","type":"article","venue":"Asia Pacific Journal of Social Work and Development","topic":"Social Work Education and Practice","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Preparedness; Social work; Pandemic; Public relations; Coronavirus disease 2019 (COVID-19); Work (physics); Qualitative research; Social Welfare; Sociology; Social care; Political science; Psychology; Nursing; Medicine; Social science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003948174,0.0002050697,0.000509124,0.0005117129,0.004529997,0.0001241928,0.0001608675,0.0002253762,0.00009568706],"category_scores_gemma":[0.0006957235,0.0002152859,0.00008232773,0.002587898,0.0003560091,0.0002133468,0.00009088017,0.0004511116,0.000006999064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003379542,"about_ca_system_score_gemma":0.001231853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006277763,"about_ca_topic_score_gemma":0.0003051806,"domain_scores_codex":[0.9966534,0.001138434,0.0007835141,0.0002673702,0.0006809465,0.0004762689],"domain_scores_gemma":[0.998025,0.0007548932,0.0007277704,0.00005307803,0.0001705534,0.0002686795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004760586,0.0001786075,0.08344429,0.00003537691,0.000138447,0.0004426833,0.896749,7.636145e-7,0.000001677191,0.0005847798,0.0009104299,0.01703793],"study_design_scores_gemma":[0.0008671702,0.00002174262,0.3234386,0.00002104806,0.00001850179,0.00001815827,0.6476311,2.517699e-8,7.407558e-7,0.0001546455,0.02767875,0.0001494499],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700087,0.0005412674,0.000005134301,0.02669095,0.0003891291,0.000315007,0.000001477583,0.00003668943,0.002011639],"genre_scores_gemma":[0.9980322,0.0001876925,0.0001485988,0.00004442817,0.0004427348,0.00002092269,0.000001119343,0.00001980358,0.001102537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2491178,"threshold_uncertainty_score":0.996766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09138854624473707,"score_gpt":0.3623642572346668,"score_spread":0.2709757109899297,"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."}}