{"id":"W2120939112","doi":"10.1098/rspb.2013.1174","title":"Patterns of spread of influenza A in Canada","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Pandemic; Geography; Transmission (telecommunications); Seasonal influenza; Coronavirus disease 2019 (COVID-19); Pandemic influenza; Demography; Climatology; Medicine; Computer science; Infectious disease (medical specialty)","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":[],"consensus_categories":[],"category_scores_codex":[0.00109007,0.0001275446,0.0004756616,0.00001081936,0.00007954585,0.000006359666,0.0008121912,0.00008754007,0.00009791496],"category_scores_gemma":[0.003844753,0.00005819399,0.0001901234,0.0003654919,0.00060996,0.00005023269,0.0005372379,0.0001352675,4.917764e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001147446,"about_ca_system_score_gemma":0.0001040299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5292192,"about_ca_topic_score_gemma":0.01439705,"domain_scores_codex":[0.9985071,0.00002282034,0.0005868737,0.0002453506,0.0003368174,0.0003009989],"domain_scores_gemma":[0.9978793,0.001331447,0.0005217615,0.00006542638,0.0001595432,0.00004247261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003198613,0.00004588499,0.9930592,0.0001080059,0.00001313648,1.601448e-8,0.0002154238,0.00001229524,0.001570255,0.003725677,0.0009977963,0.0002490937],"study_design_scores_gemma":[0.0001260533,0.0001408266,0.937404,0.0001138034,0.000007874628,1.390437e-7,0.00221678,0.000738696,0.00397066,0.05512706,0.00004949277,0.0001045793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99807,0.00008589376,0.000008837921,0.0008161322,0.00003045195,0.00027961,0.000009490913,0.00000915602,0.0006904243],"genre_scores_gemma":[0.9979407,0.00002908255,0.001565909,0.0004103149,0.00001258555,0.00002277718,5.351498e-8,0.000002029251,0.00001660246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5148222,"threshold_uncertainty_score":0.803389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.155461651429048,"score_gpt":0.3524295303121671,"score_spread":0.1969678788831191,"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."}}