{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003599967,0.0002845953,0.0002746863,0.002668875,0.001825607,0.001391865,0.0009774836,0.0002879501,0.002584887],"category_scores_gemma":[0.002342138,0.0002363191,0.0003815377,0.004872642,0.0007795203,0.0003445331,0.0009260164,0.0004004446,0.000197728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03184761,"about_ca_system_score_gemma":0.02501489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970207,"about_ca_topic_score_gemma":0.9976633,"domain_scores_codex":[0.9994802,0.00003694911,0.0000321372,0.0001242386,0.0001690965,0.000157458],"domain_scores_gemma":[0.9985116,0.0001302237,0.0002718816,0.00005232586,0.0007461273,0.0002878474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002324792,0.00004666291,0.9430323,0.0001155174,0.0002063409,0.0003470656,0.002231298,0.008125957,0.001706538,0.003878315,0.007219454,0.03285801],"study_design_scores_gemma":[0.00001044485,0.00001546194,0.9916723,0.00002961534,0.00002002139,0.00007702702,0.001270634,0.004078235,0.0001121091,0.0002722469,0.002414864,0.00002707913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848005,0.001349078,0.0003932074,0.0006758799,0.000008791661,0.00003882116,0.007633053,0.00003314811,0.005067575],"genre_scores_gemma":[0.9958936,0.0005890212,0.000434725,0.00004030763,0.000002390061,0.00001008273,0.001818981,0.000005757984,0.001205203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03184761,"threshold_uncertainty_score":0.2310717,"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."}}