{"id":"W3118533016","doi":"10.1038/s41591-020-01207-3","title":"What do journalists say about covering science during the COVID-19 pandemic?","year":2021,"lang":"en","type":"article","venue":"Nature Medicine","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Mainstream; Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Expert opinion; Political science; Public relations; Medicine; Virology; Law; Infectious disease (medical specialty)","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00292766,0.00007930693,0.000122789,0.00008244932,0.001883309,0.0002567858,0.0005825367,0.0001398352,0.002588496],"category_scores_gemma":[0.003713273,0.00005239505,0.00003543414,0.0009099679,0.001048832,0.0004204868,0.0001321188,0.0006838656,0.00001554823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005064537,"about_ca_system_score_gemma":0.0003867573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003208328,"about_ca_topic_score_gemma":0.004955736,"domain_scores_codex":[0.9983398,0.0002496549,0.0001694016,0.0001953033,0.0007916233,0.0002541797],"domain_scores_gemma":[0.9986483,0.0003461736,0.00009828995,0.0003870681,0.0002708602,0.0002493135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009249292,0.0001077534,0.1102457,0.0002195524,0.00004390364,0.0001065764,0.607185,0.00005357472,0.1547258,0.04095836,0.01328875,0.07297251],"study_design_scores_gemma":[0.0004810256,0.000009034514,0.02731746,0.0002517152,0.00001369315,0.00007642448,0.06285474,0.00001189442,0.0001292046,0.0008517061,0.9078959,0.0001072201],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.71029,0.04596204,0.00005365258,0.2161185,0.00360885,0.0002067137,0.000004087594,0.0001195922,0.02363655],"genre_scores_gemma":[0.8675513,0.1158824,0.00002244386,0.01377455,0.0009973528,0.00000492719,0.000007967814,0.000005793484,0.001753367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8946071,"threshold_uncertainty_score":0.9994161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2702977155615258,"score_gpt":0.5010791154820226,"score_spread":0.2307813999204968,"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."}}