{"id":"W4387982670","doi":"10.3138/cjc-2023-0014-en","title":"Mediatizing the COVID-19 Pandemic: International Perspectives","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Political science; Medicine; Internal medicine; Infectious disease (medical specialty); Outbreak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001313147,0.00006758713,0.00008900751,0.000387412,0.0003266624,0.0003559575,0.002634563,0.00003286835,0.00001546125],"category_scores_gemma":[0.001974328,0.00005483929,0.00007053462,0.0005203569,0.00008416198,0.0008390095,0.0001241554,0.0002817624,0.00002503647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006939188,"about_ca_system_score_gemma":0.002019023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002160755,"about_ca_topic_score_gemma":0.02092368,"domain_scores_codex":[0.9990904,0.0001590945,0.0002664,0.00008795469,0.0002295991,0.0001665461],"domain_scores_gemma":[0.9976928,0.0009101684,0.0002298152,0.0005664353,0.0002512719,0.0003494693],"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":[0.00002206917,0.00003866572,0.1187789,0.00003120324,0.0003023008,0.000231071,0.1798443,0.008666017,0.0006507536,0.5570995,0.04144889,0.09288628],"study_design_scores_gemma":[0.00115511,0.0001101216,0.07534739,0.0001617684,0.00002976717,0.0009183956,0.01415961,0.02193456,0.00006907063,0.08316766,0.8024656,0.0004810092],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1436071,0.00724537,0.1998664,0.6266301,0.00226749,0.0004695661,0.00002633697,0.0003331479,0.01955446],"genre_scores_gemma":[0.9966029,0.0002521867,0.0008656766,0.00211116,0.00007409124,0.00000281877,0.000003266081,0.000005857275,0.00008204932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8529958,"threshold_uncertainty_score":0.9969419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.093970392337002,"score_gpt":0.3398283831410153,"score_spread":0.2458579908040133,"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."}}