{"id":"W4413044124","doi":"10.5206/cjils-rcsib.v48i2.16479","title":"Twitter as an Information Dissemination Source for Delivering Crisis Information during the Outbreak of the COVID-19 Pandemic","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Information and Library Science","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Reputation; Pandemic; Coronavirus disease 2019 (COVID-19); Crisis communication; Information Dissemination; Public relations; Crisis management; Social media; Business; Identity (music); Political science; World Wide Web; Computer science; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001451091,0.0002741406,0.0002041109,0.001365241,0.001721991,0.003254178,0.0003234257,0.0007715108,0.003051182],"category_scores_gemma":[0.006909896,0.0001678525,0.00017708,0.001477201,0.00052881,0.003526506,0.00159995,0.0006097063,0.00118761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028638,"about_ca_system_score_gemma":0.001039475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005647695,"about_ca_topic_score_gemma":0.009224153,"domain_scores_codex":[0.9985336,0.0008462825,0.00009013077,0.00007715465,0.0002693943,0.0001834653],"domain_scores_gemma":[0.9953452,0.002264821,0.001096195,0.0001894338,0.0007790139,0.0003253815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001828711,0.0004876355,0.4038551,0.002486772,0.0002163865,0.003982769,0.239187,0.001339124,0.01830274,0.00710931,0.02654995,0.2946546],"study_design_scores_gemma":[0.00007369247,0.0007607549,0.3371916,0.001267678,0.0002906985,0.00172893,0.4533226,0.009586219,0.009284954,0.001933223,0.1843571,0.0002024577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638255,0.001105784,0.001423789,0.004908131,0.0001415461,0.0001567231,0.0009105256,0.000110829,0.0274172],"genre_scores_gemma":[0.9945428,0.0007342983,0.001274921,0.0003440929,0.00007080357,0.00005618528,0.000233645,0.00002370576,0.002719559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005647695,"threshold_uncertainty_score":0.01122963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259995050263447,"score_gpt":0.2865649870607066,"score_spread":0.2739650365580721,"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."}}