{"id":"W1558973447","doi":"10.3138/cbmh.21.1.121","title":"The Re-appearing Shadow of 1918: Trends in the Historiography of the 1918–19 Influenza Pandemic","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Health History","topic":"Migration, Health, Geopolitics, Historical Geography","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Historiography; Shadow (psychology); History; Influenza pandemic; Subject (documents); Drama; Phenomenon; Event (particle physics); Coronavirus disease 2019 (COVID-19); Epistemology; Literature; Philosophy; Medicine; Infectious disease (medical specialty); Art; Psychology; Archaeology; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006085398,0.0001464553,0.0003970067,0.0009550729,0.001347204,0.00001280106,0.001104546,0.0001439112,0.00004971428],"category_scores_gemma":[0.0006003914,0.00009766208,0.0003564711,0.00140872,0.001330336,0.0001340895,0.00001138844,0.0007678517,0.000001258515],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007018948,"about_ca_system_score_gemma":0.01483571,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6672977,"about_ca_topic_score_gemma":0.9123372,"domain_scores_codex":[0.9959347,0.001104264,0.001331592,0.0001595868,0.0007585222,0.0007113607],"domain_scores_gemma":[0.9968376,0.0002969046,0.001446456,0.0004482359,0.0003159803,0.0006548092],"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":[0.00004548782,0.0001003788,0.3745579,0.0001710423,0.00005326031,0.00001359017,0.4331681,0.0002269676,0.000005780186,0.09086382,0.09173455,0.009059137],"study_design_scores_gemma":[0.0003236197,0.0001215755,0.1234933,0.0001130004,0.00001334114,0.000005745539,0.007339538,6.128874e-7,3.254999e-7,0.002824899,0.865677,0.00008704369],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5412732,0.3555472,0.00006218887,0.04467257,0.01329911,0.001305056,0.0000593308,0.00003465198,0.04374668],"genre_scores_gemma":[0.9951662,0.001021326,0.00004708584,0.003192012,0.0002702279,0.000005687683,7.366938e-7,0.00001410419,0.0002825632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7739424,"threshold_uncertainty_score":0.9999529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05223542862854224,"score_gpt":0.308123331638362,"score_spread":0.2558879030098198,"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."}}