{"id":"W2564900711","doi":"10.4324/9781315639314-18","title":"Plague and the city: methodological considerations in mapping disease in early modern Florence","year":2016,"lang":"en","type":"book-chapter","venue":"BIROn (Birkbeck, University of London)","topic":"Yersinia bacterium, plague, ectoparasites research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Plague (disease); Data science; Digital mapping; Geography; Cartography; Sociology; Computer science; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0005324582,0.0002489797,0.0004371146,0.0002276124,0.0001015022,0.00002241193,0.0003024061,0.0003684779,0.0001391746],"category_scores_gemma":[0.000263553,0.0002138322,0.0001339653,0.00004195409,0.000931292,0.0000147261,0.0004378649,0.0003405564,0.00001295239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006173164,"about_ca_system_score_gemma":0.0002141812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002598954,"about_ca_topic_score_gemma":0.001280813,"domain_scores_codex":[0.9984323,0.0002755768,0.0002424981,0.0005574853,0.0002142106,0.0002779785],"domain_scores_gemma":[0.998806,0.000379165,0.000157579,0.0004329551,0.00008586027,0.0001384439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02387668,0.0006942627,0.5817911,0.001130543,0.001309026,0.003639013,0.006885073,0.0003814132,0.200764,0.1576753,0.002243076,0.01961056],"study_design_scores_gemma":[0.02416327,0.000861208,0.8604564,0.00160676,0.0003075267,0.00009762539,0.0004076853,0.0008298028,0.002758534,0.0604368,0.04523701,0.002837349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683098,0.001863496,0.002456752,0.001898361,0.00007705167,0.0009293358,0.0002958018,0.000018846,0.02415061],"genre_scores_gemma":[0.9734758,0.001512124,0.001099519,0.00008857628,0.00005511579,0.000001839799,0.000065704,0.00002508723,0.02367622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2786654,"threshold_uncertainty_score":0.8719826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06111687231504848,"score_gpt":0.2643449576155947,"score_spread":0.2032280853005462,"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."}}