{"id":"W14461158","doi":"10.1017/cbo9780511542534.012","title":"Infectious diseases in the historical archives: a modeling approach","year":2002,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001593838,0.0007533385,0.0006114193,0.002355878,0.001054832,0.004330676,0.002298443,0.00183449,0.006151362],"category_scores_gemma":[0.003191368,0.0004819478,0.0007848062,0.002873167,0.001460565,0.003615704,0.001835214,0.002137527,0.0008751558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002785452,"about_ca_system_score_gemma":0.002406555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01655512,"about_ca_topic_score_gemma":0.01759226,"domain_scores_codex":[0.999448,0.0003241356,0.0000215893,0.00007259781,0.00009410529,0.0000395366],"domain_scores_gemma":[0.9987003,0.0009185964,0.0001028983,0.0000808482,0.0001149876,0.00008235525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008312721,0.00004001648,0.001311982,0.000114836,0.0000391024,0.000143289,0.0007899363,0.04156886,0.00007929962,0.9243672,0.01165811,0.0198791],"study_design_scores_gemma":[0.00001717427,0.00003844462,0.001000014,0.0003267821,0.00006653336,0.0002602865,0.0007770527,0.1428011,0.0001235123,0.6845109,0.1700299,0.0000482027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03238885,0.04535703,0.5503038,0.04592499,0.001222524,0.0002581477,0.002849457,0.0004097604,0.3212855],"genre_scores_gemma":[0.5779171,0.081586,0.2079456,0.002875462,0.002311914,0.0009288627,0.00167314,0.0002623368,0.1244997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01655512,"threshold_uncertainty_score":0.03291756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03113593458165046,"score_gpt":0.2037951965904077,"score_spread":0.1726592620087573,"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."}}