{"id":"W4412151622","doi":"10.1177/20552076251358541","title":"A participatory approach to deploy responsible artificial intelligence for diabetes prediction and prevention","year":2025,"lang":"en","type":"article","venue":"Digital Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; Public Health Ontario; Trillium Health Centre; University of Toronto","funders":"Canadian Institute for Advanced Research","keywords":"Software deployment; Citizen journalism; Knowledge management; Health care; Computer science; Artificial intelligence; Process management; Public relations; Data science; Management science; Business; Engineering; Political science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005706254,0.0001036017,0.0002096606,0.0002108267,0.000186797,0.00006900397,0.00004229496,0.00007402213,0.000002429181],"category_scores_gemma":[0.000590114,0.0001015064,0.000048489,0.0003620155,0.00005038389,0.0001730902,0.00002272327,0.00009975785,0.00001598508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001740031,"about_ca_system_score_gemma":0.0007737019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003576473,"about_ca_topic_score_gemma":0.00002631812,"domain_scores_codex":[0.998656,0.00003859427,0.0005174912,0.0003210877,0.0001215042,0.0003453155],"domain_scores_gemma":[0.99917,0.0001902461,0.00006333262,0.0001823734,0.0001453256,0.0002486887],"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":[0.0005494551,0.0005103426,0.02241765,0.001018228,0.00002619993,1.754381e-7,0.002055083,0.00003923623,0.0001227352,0.01648135,0.002942177,0.9538374],"study_design_scores_gemma":[0.0004469545,0.01619103,0.09844708,0.004377902,0.000296108,0.00002663628,0.02841156,0.07939029,0.07934212,0.6364574,0.05539019,0.001222685],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8679741,0.0004531477,0.1139481,0.01339401,0.0005040362,0.00249046,0.00003719022,0.0002039502,0.000994975],"genre_scores_gemma":[0.9942712,0.00002841884,0.002739034,0.001902114,0.0001805152,0.0003967013,0.00005488028,0.00001727589,0.0004098716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9526147,"threshold_uncertainty_score":0.4139312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2688392371406967,"score_gpt":0.4691504034707625,"score_spread":0.2003111663300658,"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."}}