{"id":"W4400902258","doi":"10.5406/15351882.137.545.21","title":"The Pandemic","year":2024,"lang":"en","type":"article","venue":"Journal of American Folklore","topic":"Digital Education and Society","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Pandemic; History; Coronavirus disease 2019 (COVID-19); Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002562334,0.0009873291,0.0004808481,0.0007661398,0.003570132,0.00864247,0.001219315,0.00673192,0.0898144],"category_scores_gemma":[0.00861987,0.0002740538,0.0007191587,0.0006805135,0.003673582,0.008258078,0.006511786,0.009884979,0.02210339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003765485,"about_ca_system_score_gemma":0.00800905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009786657,"about_ca_topic_score_gemma":0.009373328,"domain_scores_codex":[0.9977828,0.0006057883,0.0001046456,0.0003113502,0.000505784,0.0006897077],"domain_scores_gemma":[0.9974554,0.0004987833,0.0001891428,0.0002186027,0.0006980544,0.000939937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002620285,0.00001973245,0.0005138523,0.0002073096,0.00001480889,0.0003343327,0.0009936513,0.00007437936,0.0002212685,0.04833258,0.8989868,0.05027505],"study_design_scores_gemma":[0.00000402758,0.0000106112,0.0002663546,0.0002564169,0.000003216681,0.0001877896,0.0006975256,0.00001828305,0.0000280688,0.005025792,0.9934946,0.000007326696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002470999,0.05754118,0.002650166,0.5422426,0.07333594,0.0001475726,0.001815473,0.0005688685,0.3192272],"genre_scores_gemma":[0.06043554,0.09140588,0.003381066,0.5349271,0.04373607,0.0003896813,0.002942083,0.0006769405,0.2621056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0898144,"threshold_uncertainty_score":0.3004591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086236339270497,"score_gpt":0.2871320726626577,"score_spread":0.2762697092699528,"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."}}