{"id":"W4415525996","doi":"10.2196/68952","title":"Machine Learning Applications in Population and Public Health: Guidelines for Development, Testing, and Implementation","year":2025,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wellesley Institute; Centre for Addiction and Mental Health; Institute for Clinical Evaluative Sciences; McGill University; St. Michael's Hospital; University of Toronto; Western University; University of Saskatchewan; Hospital for Sick Children; Public Health Ontario; Toronto Metropolitan University; Trillium Health Centre","funders":"","keywords":"Public health; Transparency (behavior); Population; Population health; Data sharing; Multidisciplinary approach; Delphi method; Quality (philosophy)","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"category_scores_codex":[0.2150718,0.003505017,0.00345582,0.01091929,0.002750108,0.01021514,0.01345352,0.01781627,0.0167533],"category_scores_gemma":[0.4001049,0.002717805,0.0045423,0.00930741,0.008769205,0.009756676,0.01144274,0.01779291,0.0229863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00477554,"about_ca_system_score_gemma":0.04108084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005467693,"about_ca_topic_score_gemma":0.007080651,"domain_scores_codex":[0.6900006,0.2300167,0.03984337,0.003852595,0.03362003,0.002666634],"domain_scores_gemma":[0.4766006,0.323476,0.02360674,0.04294736,0.1246301,0.008739158],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002905616,0.000692791,0.001706704,0.0184084,0.0002430099,0.000560191,0.003167319,0.003214832,0.0007815231,0.0557624,0.3577738,0.5573984],"study_design_scores_gemma":[0.0003027621,0.0004218406,0.002589701,0.08281027,0.0002604745,0.0007930211,0.001582475,0.00805675,0.001729737,0.1000001,0.8011847,0.0002681937],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001912141,0.0715966,0.6251669,0.2043749,0.009737112,0.02826602,0.00474519,0.006645866,0.04755528],"genre_scores_gemma":[0.009101645,0.03109216,0.8863361,0.02264333,0.002093889,0.03817037,0.00299597,0.001436782,0.006129735],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7849282,"threshold_uncertainty_score":0.9679562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3233777793304483,"score_gpt":0.5173224594282032,"score_spread":0.193944680097755,"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."}}