{"id":"W4409235047","doi":"10.1080/21548455.2025.2488408","title":"Building the social problem of the infodemic in Brazil: analysis of discursive formations used in media coverage on COVID-19","year":2025,"lang":"en","type":"article","venue":"International Journal of Science Education Part B","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fundação de Apoio à Pesquisa do Distrito Federal; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Universidade de Brasília","keywords":"Coronavirus disease 2019 (COVID-19); Social media; Sociology; 2019-20 coronavirus outbreak; Political science; Media studies; Virology; Medicine","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01129979,0.0004705088,0.0006290612,0.007474189,0.009073022,0.008001586,0.0008256134,0.002185056,0.001078743],"category_scores_gemma":[0.03729371,0.0004963905,0.000383841,0.005721156,0.01890646,0.006836985,0.007545705,0.002057543,0.0001097992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00765579,"about_ca_system_score_gemma":0.006986287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01184616,"about_ca_topic_score_gemma":0.01581081,"domain_scores_codex":[0.990893,0.005440429,0.0004740178,0.0006194244,0.001990231,0.000582874],"domain_scores_gemma":[0.949738,0.03870752,0.006326364,0.00192861,0.002463031,0.0008364653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004227874,0.00002129362,0.01571495,0.0003304051,0.00001705865,0.001079622,0.9356114,0.00007548631,0.002336898,0.0295674,0.0005165495,0.0146867],"study_design_scores_gemma":[0.00001185081,0.00006708208,0.03238602,0.0010245,0.00004261947,0.0008575793,0.8870354,0.0006730114,0.002540713,0.01284249,0.06246212,0.00005653992],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9509039,0.003268149,0.0027695,0.0121889,0.0001149877,0.0001170533,0.0001217775,0.00002133733,0.03049438],"genre_scores_gemma":[0.9976578,0.0007617003,0.0005336052,0.0002451403,0.00005262252,0.00002831334,0.00002876412,0.0000120752,0.0006800408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.990927,"threshold_uncertainty_score":0.05975974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03224348442981644,"score_gpt":0.4394080803049127,"score_spread":0.4071645958750963,"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."}}