{"id":"W4405370858","doi":"10.1145/3708549","title":"Disease Outbreak Detection and Forecasting: A Review of Methods and Data Sources","year":2024,"lang":"en","type":"review","venue":"ACM Transactions on Computing for Healthcare","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Harm; Social media; Outbreak; Infectious disease (medical specialty); Public health; Leverage (statistics); Disease surveillance; Disease; The Internet; Internet privacy; Data science; Health care; Business; Public relations; Environmental health; Computer science; Medicine; Political science; World Wide Web; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0111966,0.002563553,0.003708745,0.01091482,0.0005712234,0.003065599,0.004018548,0.001902208,0.002978913],"category_scores_gemma":[0.03258663,0.001430303,0.002796997,0.01330124,0.001105557,0.004521531,0.001539206,0.002664475,0.001838764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001847056,"about_ca_system_score_gemma":0.005603993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008954121,"about_ca_topic_score_gemma":0.007276897,"domain_scores_codex":[0.9954814,0.001309297,0.001046928,0.0007008759,0.001339057,0.0001225142],"domain_scores_gemma":[0.9564888,0.03578878,0.001923245,0.001003101,0.004462481,0.0003335787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00009392499,0.0001026244,0.002022068,0.04097786,0.0005440432,0.00006804543,0.0001623346,0.00285603,0.0002761183,0.005072949,0.02594091,0.9218831],"study_design_scores_gemma":[0.0000715009,0.0002431069,0.00674864,0.07500814,0.002124094,0.0006600281,0.0004114412,0.007258506,0.001351765,0.019294,0.8865339,0.0002949687],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002759247,0.9906251,0.005755243,0.001176413,0.0003666059,0.00008662339,0.000585629,0.00008306152,0.001045321],"genre_scores_gemma":[0.002322178,0.9883381,0.007490318,0.000365809,0.0004715816,0.0001121459,0.0006996492,0.00002524094,0.0001750651],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0111966,"threshold_uncertainty_score":0.059214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2436126184403192,"score_gpt":0.5038544175407229,"score_spread":0.2602417991004037,"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."}}