{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006857629,0.0002962842,0.001697859,0.0004877025,0.0001317268,0.00004807195,0.0004897132,0.00004815415,0.0000250771],"category_scores_gemma":[0.007460094,0.0002439518,0.00005434638,0.002209878,0.0002499281,0.001049246,0.0002555815,0.0002834981,0.000004922352],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006430868,"about_ca_system_score_gemma":0.006127434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001204892,"about_ca_topic_score_gemma":0.0005378111,"domain_scores_codex":[0.994735,0.0008970927,0.001970222,0.0008751048,0.0007043417,0.0008182268],"domain_scores_gemma":[0.9950615,0.0004799535,0.0009524307,0.002023465,0.0003964757,0.001086132],"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":[0.0001586218,0.0006954717,0.07391051,0.8643348,0.000155993,0.00002598931,0.0001419468,0.00003216847,0.000001455937,0.006772629,0.002034454,0.05173598],"study_design_scores_gemma":[0.002562568,0.002194357,0.09037264,0.7847107,0.0003896645,0.0001185419,0.002635963,0.06359227,0.00000244411,0.003529841,0.04849401,0.001397012],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003880587,0.691351,0.08848335,0.1922923,0.000712647,0.01352241,0.006643406,0.0007616915,0.00235255],"genre_scores_gemma":[0.394935,0.5815076,0.006482246,0.01135838,0.0001282614,0.000263598,0.005122789,0.00007336462,0.0001287694],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3910544,"threshold_uncertainty_score":0.9995069,"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."}}