{"id":"W3202526066","doi":"10.1057/s41599-021-00900-z","title":"News media coverage of COVID-19 public health and policy information","year":2021,"lang":"en","type":"article","venue":"Humanities and Social Sciences Communications","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"University of Toronto Scarborough; University of Toronto; University of Miami","keywords":"Sensationalism; Newspaper; Misinformation; Disinformation; Public health; Pandemic; Politics; Political science; News media; Public relations; Advertising; Business; Coronavirus disease 2019 (COVID-19); Social media; Medicine; Disease; Law; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001026625,0.00005339639,0.0001198351,0.0001481253,0.00439877,0.0004770196,0.0003162192,0.00004290712,0.0001029437],"category_scores_gemma":[0.001314064,0.00005367518,0.00002417122,0.0004534926,0.002040862,0.001402857,0.000187637,0.00007464838,0.000002611524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001022736,"about_ca_system_score_gemma":0.0032666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006307225,"about_ca_topic_score_gemma":0.01711438,"domain_scores_codex":[0.9988476,0.0003293195,0.0002624557,0.00005714361,0.0002980867,0.0002053926],"domain_scores_gemma":[0.9990568,0.0002919647,0.000203377,0.0001539074,0.00014313,0.0001508717],"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":[3.406656e-7,0.000008750158,0.0001586394,0.00001214315,0.000001908234,1.379473e-8,0.3423813,2.308644e-7,2.943965e-7,0.6413018,0.001239199,0.01489538],"study_design_scores_gemma":[0.0001081072,0.00001361644,0.001174704,0.000003795552,0.000001250721,7.893807e-7,0.3527457,0.00001994549,2.484661e-7,0.006769238,0.639115,0.00004759846],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04794465,0.002121488,0.0009114504,0.3574096,0.0001303888,0.0003293902,0.0001258408,0.0000997112,0.5909275],"genre_scores_gemma":[0.9583524,0.01582694,0.0005678581,0.02481646,0.00007050212,0.000003664096,0.00007439086,0.00000208592,0.0002856353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9104078,"threshold_uncertainty_score":0.9968973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.317052722939782,"score_gpt":0.4251692752310678,"score_spread":0.1081165522912858,"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."}}