{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007093825,0.0002027585,0.0002906592,0.005002712,0.001813759,0.003699809,0.0005410732,0.000507738,0.00307867],"category_scores_gemma":[0.03851633,0.0001816511,0.0001716712,0.002810288,0.003136386,0.002697827,0.003570127,0.0007900221,0.0003851602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001763119,"about_ca_system_score_gemma":0.001156286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003215783,"about_ca_topic_score_gemma":0.002866378,"domain_scores_codex":[0.9945546,0.00309787,0.0002982541,0.0003365131,0.0009548282,0.0007578083],"domain_scores_gemma":[0.943205,0.03034865,0.01457537,0.001899527,0.005329616,0.004641846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006757101,0.0002457648,0.7021954,0.0002680969,0.00005718392,0.0006244218,0.2317556,0.0003717308,0.00310546,0.01542096,0.002125946,0.04315368],"study_design_scores_gemma":[0.00001443892,0.0001703805,0.8504834,0.00007437307,0.00001441833,0.0003182954,0.1340893,0.0004783542,0.0007517835,0.001645711,0.01193018,0.00002930794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820518,0.0002420608,0.0002884198,0.0005142977,0.0000265461,0.00001910006,0.00007339167,0.000006987395,0.01677721],"genre_scores_gemma":[0.9991227,0.00007373013,0.00009293221,0.00003450327,0.00003056867,0.000009195824,0.00004725091,0.000004173946,0.0005848762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007093825,"threshold_uncertainty_score":0.03751624,"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."}}