{"id":"W4389457455","doi":"10.2196/49185","title":"Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Public Health Agency; Public Health Agency of Canada; McMaster University","keywords":"Public health; Public health surveillance; Pandemic; Government (linguistics); Contact tracing; Grey literature; Disease surveillance; Public relations; Environmental health; Medicine; Political science; Coronavirus disease 2019 (COVID-19); MEDLINE; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.03290828,0.001607609,0.004157276,0.02176178,0.001479072,0.006748358,0.002987718,0.004075732,0.004699309],"category_scores_gemma":[0.1855707,0.001546615,0.006659651,0.02230181,0.002025605,0.006904479,0.00313505,0.003203992,0.0009138654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008462339,"about_ca_system_score_gemma":0.02947757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.010947,"about_ca_topic_score_gemma":0.01511221,"domain_scores_codex":[0.969713,0.00978682,0.01174775,0.001850419,0.006148693,0.0007533137],"domain_scores_gemma":[0.8023307,0.150328,0.02217845,0.00327143,0.02089597,0.0009954867],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001566003,0.00003398259,0.001031439,0.8012622,0.002176676,0.0002688716,0.001400029,0.0003371577,0.0002604878,0.001875083,0.0105565,0.1806409],"study_design_scores_gemma":[0.00002263361,0.00005583556,0.001217549,0.9334162,0.003643897,0.0002759135,0.0005927602,0.00007153903,0.0001733762,0.0006360341,0.05986533,0.00002891464],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005383729,0.9951679,0.0003900373,0.001452114,0.0006949329,0.0003586172,0.0002859665,0.00001360152,0.001098552],"genre_scores_gemma":[0.004165928,0.992665,0.0007871966,0.001061989,0.0002776213,0.0005780924,0.0002607332,0.00001183953,0.0001917125],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9670917,"threshold_uncertainty_score":0.1740377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2062622033941132,"score_gpt":0.481375141677558,"score_spread":0.2751129382834447,"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."}}