{"id":"W2587516628","doi":"10.1097/phh.0000000000000517","title":"An Evaluation of Provincial Infectious Disease Surveillance Reports in Ontario","year":2017,"lang":"en","type":"article","venue":"Journal of Public Health Management and Practice","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario","funders":"","keywords":"Infectious disease (medical specialty); Environmental health; Disease surveillance; Data science; Medicine; Disease; Computer science; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05989685,0.0006447896,0.0007136477,0.005670354,0.002456611,0.002827524,0.001951149,0.0004168798,0.002376488],"category_scores_gemma":[0.1439194,0.0005574482,0.001112046,0.01043435,0.001271891,0.001503254,0.002164102,0.0005650386,0.0003248583],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05298313,"about_ca_system_score_gemma":0.08547827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8494295,"about_ca_topic_score_gemma":0.8601155,"domain_scores_codex":[0.9481071,0.01632463,0.006386973,0.001459049,0.02553808,0.002184244],"domain_scores_gemma":[0.7096279,0.0697826,0.03875829,0.008343751,0.1646229,0.008864614],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002873411,0.001494129,0.7333289,0.00621043,0.0005120944,0.0004105859,0.02062129,0.00222645,0.002287414,0.0005373759,0.01370995,0.2157879],"study_design_scores_gemma":[0.0002955059,0.00215261,0.9583339,0.0009693612,0.000298699,0.00008986465,0.01001011,0.002973991,0.001592268,0.00005801899,0.02313865,0.00008703031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503309,0.002127315,0.001814344,0.001769823,0.0001400661,0.008344225,0.01121078,0.0004582084,0.02380436],"genre_scores_gemma":[0.9833419,0.001380854,0.005553979,0.0002016236,0.00005368485,0.002127088,0.004942005,0.00004345306,0.002355426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9470168,"threshold_uncertainty_score":0.3844213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1034344150852083,"score_gpt":0.4117081740086926,"score_spread":0.3082737589234843,"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."}}