{"id":"W2947001125","doi":"10.5210/ojphi.v11i1.9892","title":"Surveillance for Lyme disease in Canada: 2009-2015","year":2019,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Disease surveillance; Lyme disease; Notifiable disease; Medicine; Demography; Disease; Incidence (geometry); Public health surveillance; Public health; Geography; Environmental health; Pathology; Immunology","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":[0.001461118,0.0001464521,0.0004817148,0.0002577476,0.00005937421,0.00001996855,0.0002780043,0.00006999874,0.0001592692],"category_scores_gemma":[0.0009129889,0.0001236139,0.0000909675,0.00021948,0.00003140674,0.00036532,0.00003781379,0.0003293273,0.00003021421],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009782334,"about_ca_system_score_gemma":0.01702695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0501312,"about_ca_topic_score_gemma":0.2733887,"domain_scores_codex":[0.9975591,0.0001695209,0.001529211,0.00006388267,0.0001069593,0.0005713414],"domain_scores_gemma":[0.9976987,0.0002693189,0.001158123,0.0002158062,0.0004119612,0.0002460416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001809401,0.000522591,0.891077,0.0007197748,0.0001858232,0.000006374687,0.0005410896,0.0009758517,0.00002141254,0.0003866484,0.07845993,0.02692256],"study_design_scores_gemma":[0.003569969,0.0004428609,0.4449427,0.000111868,0.000009713909,0.00006878996,0.0009517649,0.0008843807,0.000006018724,0.00005437589,0.548746,0.0002115896],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813344,0.005305951,0.0007716061,0.009219335,0.001866018,0.000466598,0.0009368467,0.00001537801,0.00008387176],"genre_scores_gemma":[0.9953584,0.0005034296,0.0004270269,0.003227599,0.00008725413,0.000004885943,0.0002214336,0.00001521584,0.0001547311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4702861,"threshold_uncertainty_score":0.9885456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0250144232955582,"score_gpt":0.2909744319108571,"score_spread":0.2659600086152989,"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."}}