{"id":"W2128407230","doi":"10.1098/rspb.2013.0763","title":"Human mobility patterns predict divergent epidemic dynamics among cities","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Casual; Infectious disease (medical specialty); Geography; Population; Census; Demography; Variation (astronomy); Economic geography; Disease; Medicine; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002809248,0.0002851739,0.0005823071,0.00001408719,0.0009913625,0.00006507283,0.00142862,0.000249511,0.0003086615],"category_scores_gemma":[0.004551928,0.0001324559,0.0005923486,0.0003303634,0.003340636,0.0001537423,0.00155129,0.0003414572,0.000006346714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002035534,"about_ca_system_score_gemma":0.00001532032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001290393,"about_ca_topic_score_gemma":0.00001661264,"domain_scores_codex":[0.9975292,0.00006353384,0.0006912109,0.0006277588,0.0004856161,0.0006026459],"domain_scores_gemma":[0.9977129,0.001236293,0.0005596142,0.0001418103,0.0002254996,0.0001239039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001543621,0.0001016118,0.978844,0.00008988751,0.00003614458,2.372936e-8,0.0002028623,0.00001108291,0.0002193344,0.01531169,0.005040002,0.0001417636],"study_design_scores_gemma":[0.00007903884,0.0001937646,0.7674052,0.00005534344,0.0000204769,2.073261e-7,0.00178679,0.006404666,0.0001465332,0.2237186,0.00001551214,0.0001738916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953927,0.00006118852,0.0001423126,0.00161198,0.0001056377,0.0007021574,0.0000252326,0.0001543448,0.001804433],"genre_scores_gemma":[0.9976875,0.0000430943,0.001349771,0.0004239254,0.00008853542,0.0001338142,8.332986e-7,0.000006015026,0.0002665633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2114388,"threshold_uncertainty_score":0.9993717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1450518430696207,"score_gpt":0.3564634887307951,"score_spread":0.2114116456611744,"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."}}