{"id":"W3024200060","doi":"10.1111/jan.14417","title":"A nursing informatics response to COVID‐19: Perspectives from five regions of the world","year":2020,"lang":"en","type":"editorial","venue":"Journal of Advanced Nursing","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of British Columbia","funders":"University of Texas at Austin","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Nursing; Informatics; Pandemic; MEDLINE; Health informatics; Medicine; Psychology; Virology; Political science; Public health; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02751109,0.0008505548,0.000759033,0.003068938,0.01394131,0.01704604,0.002628253,0.008702096,0.01163679],"category_scores_gemma":[0.02525149,0.0005564932,0.001086696,0.002598472,0.006809341,0.01647203,0.02011892,0.01836895,0.001955363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01123559,"about_ca_system_score_gemma":0.03570317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01196968,"about_ca_topic_score_gemma":0.03154441,"domain_scores_codex":[0.9825832,0.01044717,0.0008216042,0.000772997,0.002115272,0.003259862],"domain_scores_gemma":[0.94988,0.01537292,0.001707932,0.0006513938,0.008320988,0.02406674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002890136,0.000602495,0.0165307,0.003439284,0.0001037867,0.002231594,0.1931396,0.0003134696,0.0009674618,0.04317997,0.4263065,0.3128961],"study_design_scores_gemma":[0.0000305608,0.000290969,0.005143906,0.005525206,0.00004974706,0.0006784211,0.3955801,0.0001680602,0.0002570003,0.009141961,0.5830366,0.00009747648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.02077865,0.04560976,0.001294297,0.8961867,0.009266517,0.0000655846,0.0001603202,0.0000674392,0.02657072],"genre_scores_gemma":[0.3033251,0.1267323,0.005679361,0.5377473,0.006637823,0.0003662467,0.0004701159,0.0002437662,0.01879795],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.02751109,"threshold_uncertainty_score":0.1454943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03611359755205229,"score_gpt":0.4468606206505848,"score_spread":0.4107470230985326,"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."}}