{"id":"W4416734108","doi":"10.1155/adph/2190224","title":"Advancing Public Health Surveillance With Artificial Intelligence: A Systematic Review of Real‐Time Data Analytics and Disease Prediction","year":2025,"lang":"en","type":"article","venue":"Advances in Public Health","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wycliffe College","funders":"","keywords":"Predictive analytics; Public health surveillance; Disease surveillance; Analytics; Public health; Big data; Data analysis; Inclusion (mineral); Random forest","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01202365,0.001350388,0.004440126,0.01364644,0.0005317057,0.003472447,0.002397483,0.001983578,0.004323699],"category_scores_gemma":[0.05707226,0.0009415802,0.005468898,0.01556511,0.001075414,0.003522573,0.001827212,0.001697385,0.0004595797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003039522,"about_ca_system_score_gemma":0.01654407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008314379,"about_ca_topic_score_gemma":0.0198886,"domain_scores_codex":[0.9923633,0.002883886,0.002860684,0.0005066209,0.001202665,0.0001827799],"domain_scores_gemma":[0.911721,0.07596844,0.00646867,0.0007989208,0.00456515,0.0004779155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00008537592,0.00003079912,0.0007421409,0.8594902,0.002391564,0.00008166082,0.0003188109,0.0002828787,0.0001091375,0.0007802313,0.003014687,0.1326725],"study_design_scores_gemma":[0.0000504975,0.0001318295,0.001875292,0.9464276,0.009575539,0.0002120488,0.0003148564,0.0002090593,0.0001367343,0.0007064712,0.04032363,0.00003645693],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002615491,0.9985908,0.0002084376,0.0003823922,0.00007527707,0.00008678992,0.0001500083,0.000005973935,0.0002388222],"genre_scores_gemma":[0.003030659,0.9955903,0.0007124508,0.0003142499,0.00005513945,0.0001596542,0.0001005604,0.000003508206,0.00003356903],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01364644,"threshold_uncertainty_score":0.06358784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0490463310442098,"score_gpt":0.3731109096799164,"score_spread":0.3240645786357066,"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."}}