{"id":"W4229046370","doi":"10.1177/17571774221092558","title":"Lessons from the COVID-19 epidemic in Hubei, China: Perspectives on frontline nursing","year":2022,"lang":"en","type":"article","venue":"Journal of Infection Prevention","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"Medicine; Nursing; Thematic analysis; Preparedness; Government (linguistics); Qualitative research; Personal protective equipment; Infectious disease (medical specialty); Disease; Coronavirus disease 2019 (COVID-19)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004180108,0.0008503384,0.0006082779,0.0007675659,0.01188047,0.003910737,0.001692342,0.003231167,0.002853454],"category_scores_gemma":[0.004386193,0.0004249348,0.0004368467,0.00118692,0.006037321,0.003751662,0.005110482,0.003428613,0.0001930119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00930493,"about_ca_system_score_gemma":0.01346472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06825095,"about_ca_topic_score_gemma":0.1309504,"domain_scores_codex":[0.9976527,0.001218142,0.00006351028,0.0001114596,0.0001737985,0.0007804879],"domain_scores_gemma":[0.9965612,0.001220305,0.0003280969,0.0000830664,0.0003949028,0.001412436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000227362,0.00003846004,0.007541177,0.0002795708,0.000007117119,0.004436799,0.9716727,0.00005779557,0.0004224238,0.001316944,0.005233895,0.00897038],"study_design_scores_gemma":[0.000002654899,0.00003520434,0.003789755,0.000220085,0.000004130023,0.0003091962,0.9836864,0.00005190335,0.00007782622,0.0002879525,0.01152118,0.00001367129],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258189,0.00690667,0.0005403035,0.05443859,0.001012414,0.00009724238,0.00007951571,0.00002541363,0.01108094],"genre_scores_gemma":[0.9767668,0.006852437,0.0003939806,0.009158043,0.0001925123,0.00008163571,0.00006121958,0.00001892801,0.006474552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06825095,"threshold_uncertainty_score":0.1357074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1012219597220171,"score_gpt":0.4885308632572362,"score_spread":0.3873089035352191,"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."}}