{"id":"W2615459621","doi":"","title":"Finding Hope in Media Hype: The Challenges of Crisis Communications During Disease Outbreak","year":2017,"lang":"en","type":"article","venue":"WestminsterResearch (University of Westminster)","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crisis communication; Pandemic; Public health; Outbreak; News media; Political science; Public relations; Plague (disease); Journalism; Health communication; Media studies; Coronavirus disease 2019 (COVID-19); Disease; History; Sociology; Medicine; Infectious disease (medical specialty); Virology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009876176,0.000338989,0.0003072421,0.002132003,0.01412132,0.01746594,0.001035089,0.003224341,0.003995237],"category_scores_gemma":[0.03841563,0.0004735082,0.0003531621,0.002034305,0.01923529,0.02185815,0.008592823,0.005321682,0.0004480941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005915775,"about_ca_system_score_gemma":0.006051427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01251541,"about_ca_topic_score_gemma":0.01804271,"domain_scores_codex":[0.9882205,0.008718972,0.0002357154,0.000391596,0.001033964,0.001399232],"domain_scores_gemma":[0.9608476,0.02878766,0.004530616,0.001267596,0.002136698,0.002429863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007638626,0.00008888061,0.01274955,0.0001959896,0.00002768068,0.001117559,0.8987637,0.000105836,0.0002865202,0.05447033,0.008666625,0.02345085],"study_design_scores_gemma":[0.00001044208,0.00003309612,0.008225915,0.00027332,0.00001250786,0.0002416438,0.9567151,0.0001710759,0.0001545908,0.01010053,0.02403501,0.00002677952],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7719062,0.00449013,0.002332009,0.09797428,0.0006114762,0.00007241172,0.00008964716,0.00004993724,0.1224739],"genre_scores_gemma":[0.9957339,0.001105406,0.0001975835,0.001693246,0.000134349,0.00002198664,0.00001671737,0.00001728452,0.001079558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01746594,"threshold_uncertainty_score":0.05223083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1213977708213623,"score_gpt":0.355168293233119,"score_spread":0.2337705224117568,"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."}}