{"id":"W6943886562","doi":"10.17863/cam.46529","title":"Urbanisation and mortality in Britain c.1800-1850","year":2019,"lang":"en","type":"article","venue":"Apollo (University of Cambridge)","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leverhulme Trust; Wellcome Trust","keywords":"Urbanization; Quarter (Canadian coin); Mortality rate; Standard of living; Epidemiology; Rural area; Population; Developed country","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002027756,0.00005930695,0.0002915704,0.00008364009,0.00006340579,0.000005711889,0.00008450454,0.00006157447,0.0001178625],"category_scores_gemma":[0.00001451334,0.00009325133,0.00005551864,0.0001009447,0.00007827857,0.0001580049,0.00005072235,0.00006135686,0.0001736994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001569219,"about_ca_system_score_gemma":0.00001189123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01131626,"about_ca_topic_score_gemma":0.0005848387,"domain_scores_codex":[0.9995095,0.000009505589,0.0001503142,0.0001952546,0.00001877811,0.0001167041],"domain_scores_gemma":[0.9996922,0.00002463957,0.0001300984,0.0001061139,0.00001048518,0.00003645155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001103805,0.00003231156,0.6426229,0.00002469295,0.00003407094,0.000002269927,0.002856244,0.000006053095,0.00001145725,0.3529341,0.0009553529,0.0005094762],"study_design_scores_gemma":[0.0006761153,0.00003387673,0.956082,0.000006487321,0.000005155879,3.082736e-7,0.002773121,0.0004679936,0.000002109526,0.003307272,0.0364943,0.0001512494],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283322,0.000509281,0.0002900844,0.0002350171,0.000109427,0.0000923491,0.00003608753,0.000009079701,0.07038644],"genre_scores_gemma":[0.9941338,0.0001787687,0.00008130931,0.00004396618,0.0000143396,1.382122e-7,0.00000405277,0.000004199853,0.005539479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3496268,"threshold_uncertainty_score":0.9952675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191945610247463,"score_gpt":0.1802390189430725,"score_spread":0.1610444579183262,"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."}}