{"id":"W2789480328","doi":"10.14745/ccdr.v42i07a02","title":"Exploring gaps in surveillance of a small measles outbreak in Toronto, Canada","year":2016,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Virology and Viral Diseases","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Public Health Ontario; University of Toronto; Toronto Public Health","funders":"","keywords":"Outbreak; Measles; Medicine; Environmental health; Transmission (telecommunications); Public health; Medical emergency; Virology; Telecommunications; Vaccination; Nursing; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002629019,0.0003727384,0.0005047017,0.002677687,0.003826544,0.00234431,0.001884005,0.0005310313,0.00106123],"category_scores_gemma":[0.009093902,0.0003754284,0.0002872698,0.006318384,0.001127864,0.00108273,0.001883353,0.001030961,0.0001106894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06936448,"about_ca_system_score_gemma":0.110277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969977,"about_ca_topic_score_gemma":0.9982111,"domain_scores_codex":[0.9973354,0.0003821022,0.0002419291,0.0002719257,0.0008475861,0.0009210609],"domain_scores_gemma":[0.9894169,0.001519257,0.001361479,0.0002601235,0.005937913,0.00150431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004128288,0.0001249839,0.845561,0.001739767,0.0001783938,0.001607523,0.04625158,0.001627706,0.00233447,0.001426954,0.01942183,0.07931297],"study_design_scores_gemma":[0.00001088133,0.00005790488,0.9511861,0.0005342691,0.00006215131,0.0001258897,0.03620891,0.001416644,0.0003792188,0.0001571709,0.009825602,0.00003534595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520572,0.008931445,0.001230041,0.01232028,0.0001260964,0.0003293731,0.01167166,0.00008684565,0.01324699],"genre_scores_gemma":[0.9920575,0.002632868,0.001209938,0.0007834042,0.00002430962,0.00005714645,0.002401633,0.00001186813,0.0008211853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06936448,"threshold_uncertainty_score":0.5032769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05506969728071018,"score_gpt":0.2642058162197032,"score_spread":0.209136118938993,"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."}}