{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007770438,0.0006057638,0.0004056604,0.003795162,0.002153788,0.001697378,0.001592333,0.0002830707,0.002986061],"category_scores_gemma":[0.002986642,0.0002998824,0.0005885942,0.006377966,0.0004540828,0.0005109629,0.001176943,0.0006699216,0.0004614037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05095861,"about_ca_system_score_gemma":0.0877336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964478,"about_ca_topic_score_gemma":0.9978423,"domain_scores_codex":[0.9980788,0.00006371082,0.0001344843,0.0002041528,0.0009528853,0.0005659215],"domain_scores_gemma":[0.994989,0.0000622673,0.0004960031,0.00005078543,0.003668086,0.0007338942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002003784,0.00007364119,0.8802073,0.0006667393,0.0001684113,0.0002076501,0.0008094118,0.0007309425,0.0005981368,0.0004701335,0.06035963,0.05550767],"study_design_scores_gemma":[0.00001764348,0.00003736193,0.9729462,0.0003152429,0.000043922,0.0001360542,0.0007672936,0.0006462902,0.0002456644,0.00003516116,0.02478929,0.00001992134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5070744,0.02022001,0.002394574,0.004312017,0.0004401527,0.00133074,0.4237688,0.0007083545,0.03975082],"genre_scores_gemma":[0.8526121,0.0124916,0.003786088,0.001464722,0.0001208597,0.000337311,0.1196006,0.00007580533,0.009510776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05095861,"threshold_uncertainty_score":0.3697323,"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."}}