{"id":"W4407545297","doi":"10.3390/computation13020053","title":"Artificial Intelligence Applications in Public Health","year":2025,"lang":"en","type":"article","venue":"Computation","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Balsillie School of International Affairs; University of Waterloo","funders":"","keywords":"Public health; Computer science; Business; Medicine; Nursing","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":[0.000364869,0.00006437461,0.0001325165,0.0003374531,0.0001105432,0.00002651021,0.00004907429,0.00005242545,0.0000211802],"category_scores_gemma":[0.0001297393,0.0000663534,0.00002798388,0.0009371191,0.00003981151,0.00006901466,0.0000127574,0.0001342636,0.00006206517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002578023,"about_ca_system_score_gemma":0.0006563423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002644211,"about_ca_topic_score_gemma":0.0001574326,"domain_scores_codex":[0.9990194,0.00004968338,0.0004566401,0.0001896313,0.00009635346,0.000188329],"domain_scores_gemma":[0.9994453,0.0001391247,0.00006523906,0.0001232673,0.0001461705,0.000080916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009113537,0.0002073873,0.0127125,0.0000789602,0.000003983954,3.692164e-7,0.00104335,0.0003535588,0.00002890079,0.04116152,0.0002526501,0.9441477],"study_design_scores_gemma":[0.00006574874,0.000461867,0.1609814,0.0004949211,0.00002687829,0.00001228093,0.01749174,0.1482625,0.007426542,0.6426353,0.02173821,0.0004026134],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1272091,0.0002961834,0.8340565,0.03512643,0.000311222,0.0008185533,0.000001031666,0.00007975307,0.002101261],"genre_scores_gemma":[0.9957181,0.0000389196,0.002557607,0.001343022,0.00008732986,0.00009031031,0.00008333127,0.000004965555,0.0000763892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9437451,"threshold_uncertainty_score":0.2705813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3243427184925876,"score_gpt":0.5000634365228726,"score_spread":0.175720718030285,"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."}}