{"id":"W4406970364","doi":"10.3138/utq.93.04.04","title":"Viral Monsters: Reimagining the Zombie after COVID-19","year":2024,"lang":"en","type":"article","venue":"University of Toronto Quarterly","topic":"Gothic Literature and Media Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zombie; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Virology; History; Art; Computer science; Computer security; Medicine; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003416661,0.0007399304,0.0004040957,0.001806794,0.01902436,0.01114928,0.001169943,0.002942863,0.00482476],"category_scores_gemma":[0.006965745,0.0004464464,0.0003062524,0.001184501,0.0244353,0.009297342,0.01096739,0.005722628,0.0005870831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009718779,"about_ca_system_score_gemma":0.004485944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04138038,"about_ca_topic_score_gemma":0.07860102,"domain_scores_codex":[0.9978942,0.001147186,0.00003788376,0.00008836669,0.0002238804,0.0006085237],"domain_scores_gemma":[0.9986869,0.0006120338,0.0001528513,0.0001197389,0.0001549087,0.0002736408],"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":[0.00005575548,0.00001249017,0.0008441582,0.0001052251,0.000006041817,0.00106669,0.890475,0.00006437436,0.0009002659,0.09228211,0.004928862,0.009259067],"study_design_scores_gemma":[0.000008505976,0.000045635,0.001537904,0.0004033965,0.00001249293,0.000714036,0.5420827,0.0001475054,0.0006119852,0.007801967,0.4466102,0.00002372057],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7174994,0.02844843,0.007445342,0.07307002,0.004048679,0.0001520279,0.0001406611,0.0002132148,0.1689822],"genre_scores_gemma":[0.9729951,0.004622526,0.0007979558,0.002031964,0.0002946431,0.00004222828,0.00004589217,0.0001324191,0.01903727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04138038,"threshold_uncertainty_score":0.08227903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009698556533997277,"score_gpt":0.2568286778678151,"score_spread":0.2471301213338178,"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."}}