{"id":"W4323294977","doi":"10.1111/jan.15625","title":"Lessons from professional nursing associations' policy advocacy responses to the <scp>COVID</scp> ‐19 pandemic: An interpretive description","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Nursing","topic":"Nursing Education, Practice, and Leadership","field":"Nursing","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Policy advocacy; Nursing; Professional association; Pandemic; Public relations; Context (archaeology); Nursing literature; Political science; Focus group; Medicine; Psychology; Coronavirus disease 2019 (COVID-19); Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06908368,0.001366632,0.0006858723,0.00590661,0.02469625,0.02157555,0.004507901,0.005261224,0.00200384],"category_scores_gemma":[0.07386301,0.0008832503,0.0006504752,0.00457715,0.03927015,0.01660463,0.01275696,0.009871728,0.0003795749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02136992,"about_ca_system_score_gemma":0.01589763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01071975,"about_ca_topic_score_gemma":0.01943931,"domain_scores_codex":[0.9208152,0.06873131,0.001696324,0.001639227,0.00395151,0.003166491],"domain_scores_gemma":[0.8981166,0.08462165,0.004605299,0.002733405,0.007485768,0.002437138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000007574169,0.00001459071,0.0006322646,0.0000577098,0.000002332998,0.0005194826,0.9818699,0.00003488244,0.00005738283,0.01253665,0.001419868,0.002847304],"study_design_scores_gemma":[0.000002679415,0.000008085162,0.0003050099,0.0002631281,0.000002882325,0.000249752,0.9672213,0.0001258303,0.0001148566,0.004836217,0.02686046,0.000009899216],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6485772,0.008387298,0.03107779,0.1869819,0.003764786,0.000843515,0.0002315586,0.0001594156,0.1199765],"genre_scores_gemma":[0.9791478,0.002484574,0.005666818,0.005814213,0.0003504176,0.0004581326,0.00005798625,0.00009065589,0.005929437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06908368,"threshold_uncertainty_score":0.3653538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08214712252984967,"score_gpt":0.441654286910688,"score_spread":0.3595071643808383,"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."}}