{"id":"W4417136516","doi":"10.2196/69959","title":"Social Media Metrics and Popular Legitimacy: Content Analysis of Pre– and Post–COVID-19 Public Engagement With the World Health Organization on X","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; HEC Montréal","funders":"","keywords":"Social media; Legitimacy; Public engagement; Content analysis; Public health; Health communication; Social media analytics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01807868,0.00005269555,0.0002319953,0.001477562,0.000491883,0.0002243516,0.0005999879,0.00007109002,0.0001947229],"category_scores_gemma":[0.01514096,0.00003150693,0.00004335459,0.004084881,0.0006003466,0.0001534028,0.0002048163,0.0007344335,2.864105e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003217592,"about_ca_system_score_gemma":0.001484334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001913909,"about_ca_topic_score_gemma":0.009178145,"domain_scores_codex":[0.9949409,0.002202637,0.0004019225,0.0001058836,0.002163439,0.0001852065],"domain_scores_gemma":[0.9956307,0.002508219,0.0002735088,0.0001377566,0.001144277,0.0003055699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001310661,0.0003760103,0.04680538,0.00004876074,0.001257635,0.000005887754,0.04359317,0.000007736407,0.00000844603,0.7969891,0.05096617,0.05981064],"study_design_scores_gemma":[0.002299491,0.0007603046,0.4262397,0.0002839873,0.0004838715,0.000006328364,0.09442656,0.002659097,0.00002157079,0.002743117,0.4698915,0.0001844277],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3691771,0.001368902,0.003522138,0.6241753,0.00005180897,0.0002142251,0.000002947043,0.000006183802,0.001481364],"genre_scores_gemma":[0.9962177,0.001831381,0.00007081351,0.001164697,0.00005821598,0.000003501131,0.000008009955,0.000003296881,0.00064241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.794246,"threshold_uncertainty_score":0.9931549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2115971947598405,"score_gpt":0.4967208748603882,"score_spread":0.2851236801005478,"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."}}