{"id":"W4400087120","doi":"10.2196/58040","title":"Experiences of Governments and Public Health Agencies Regarding Crisis Communication During the COVID-19 Pandemic in the Digital Age: Protocol for a Systematic Review of Qualitative Studies","year":2024,"lang":"en","type":"review","venue":"JMIR Research Protocols","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CINAHL; Public health; Public relations; PsycINFO; Crisis communication; Health communication; Pandemic; Political science; MEDLINE; Medicine; Nursing; Coronavirus disease 2019 (COVID-19)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04043897,0.0002092061,0.001344487,0.0002698855,0.001147117,0.0005087947,0.002092164,0.0001176872,0.000005660033],"category_scores_gemma":[0.01523633,0.0001040428,0.0002564322,0.001742267,0.001261836,0.0004404835,0.0006264615,0.0006210008,0.000001311253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250781,"about_ca_system_score_gemma":0.002000634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001478966,"about_ca_topic_score_gemma":0.0001534815,"domain_scores_codex":[0.9773214,0.01846621,0.001770343,0.0003277232,0.001678991,0.0004353619],"domain_scores_gemma":[0.9901489,0.00676544,0.00137685,0.001138679,0.000471639,0.0000984838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"qualitative","study_design_scores_codex":[0.000004620339,0.00006626107,0.000002934873,0.7078195,0.00007024152,1.913715e-7,0.2821908,1.624807e-8,1.278843e-8,0.005587962,0.002225703,0.002031709],"study_design_scores_gemma":[0.00009803303,0.00006028824,2.122195e-7,0.2983906,0.00001113635,0.000001330982,0.3610864,5.586272e-7,1.163817e-8,0.0005565112,0.3397423,0.00005254058],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[8.22086e-7,0.3816967,0.000003552735,0.001731955,0.000001327384,0.6162655,0.00002240788,0.00001215484,0.0002656124],"genre_scores_gemma":[0.00003999389,0.4148126,0.00002013249,0.00003353302,0.000008807931,0.5849902,0.000006353454,0.000009370275,0.0000790152],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.4094289,"threshold_uncertainty_score":0.9930587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7884521509448685,"score_gpt":0.7224297968877099,"score_spread":0.06602235405715862,"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."}}