{"id":"W4400842271","doi":"10.1080/1461670x.2023.2274584","title":"Journalistic Role Performance in Times of COVID","year":2023,"lang":"en","type":"article","venue":"Journalism Studies","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Virginia Agricultural Experiment Station, Virginia Polytechnic Institute and State University; Ministério da Agricultura, do Mar, do Ambiente e do Ordenamento do Território; Pontificia Universidad Católica de Valparaíso; Mitacs; Department of Sport and Recreation, Northern Territory Government; Toronto General and Western Hospital Foundation; Universidad Iberoamericana Ciudad de México","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Political science; Medicine; Outbreak","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001587551,0.0001384668,0.0005865759,0.00074564,0.0001133287,0.00002669287,0.0002198505,0.00005833921,0.000246778],"category_scores_gemma":[0.001429701,0.000136955,0.0001016286,0.0007636941,0.00008355352,0.0002395555,0.0001181043,0.0002445118,0.0003198659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002265844,"about_ca_system_score_gemma":0.00005124246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008683347,"about_ca_topic_score_gemma":0.00002467153,"domain_scores_codex":[0.9984906,0.0000242986,0.0008645876,0.0001894813,0.00007770894,0.0003533757],"domain_scores_gemma":[0.9988768,0.0002701143,0.0005259007,0.0001888034,0.00005567981,0.00008273679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004517128,0.00006644418,0.9328412,0.0003021321,0.000288751,0.00005103632,0.01311112,0.004570971,0.00007735255,0.03893951,0.008929118,0.0007772308],"study_design_scores_gemma":[0.002325303,0.0002114058,0.7000085,0.0004082329,0.00003012535,0.00005654436,0.003829202,0.007473436,0.0001933002,0.2003414,0.08451957,0.0006030754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727547,0.01409236,0.00003590258,0.005404393,0.0006258888,0.0001223262,0.00004451219,0.0000461588,0.006873817],"genre_scores_gemma":[0.9875721,0.01061968,0.00005868769,0.0003713445,0.0001304677,0.000007997886,0.000001491687,0.00001753027,0.001220689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2328327,"threshold_uncertainty_score":0.5584863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0870009400600802,"score_gpt":0.312961014465348,"score_spread":0.2259600744052678,"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."}}