{"id":"W7154167045","doi":"10.2196/preprints.83244","title":"Responsible AI for Predicting Delayed Hospital Discharge Among Older Adults: Development and Evaluation Study for Balancing Accuracy, Equity, and Explainability (Preprint)","year":2025,"lang":"","type":"article","venue":"","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Receiver operating characteristic; Psychological intervention; Cluster analysis; Boosting (machine learning); Predictive analytics; Health care; Gradient boosting; Ceteris paribus","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02337417,0.001006159,0.0007912175,0.001047983,0.0007564462,0.002196929,0.001870719,0.0009594387,0.001844054],"category_scores_gemma":[0.05366542,0.000384095,0.001363946,0.0008258278,0.000666031,0.001745639,0.001671691,0.001803839,0.0006006941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002744903,"about_ca_system_score_gemma":0.00428136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03846003,"about_ca_topic_score_gemma":0.02832589,"domain_scores_codex":[0.9960585,0.002438319,0.0002278794,0.0005573982,0.0005164913,0.0002014708],"domain_scores_gemma":[0.9683945,0.02208728,0.001428156,0.002081362,0.005064894,0.0009438884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002151474,0.003152564,0.7480399,0.0004129526,0.001046335,0.0001563605,0.001369016,0.04038259,0.001164791,0.002776172,0.008433979,0.1909138],"study_design_scores_gemma":[0.0004807577,0.002592413,0.1678796,0.0003318613,0.00107516,0.0001222721,0.001090764,0.8160675,0.002763239,0.004047736,0.003471257,0.00007749201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446206,0.0008771081,0.04552443,0.001912183,0.0001445259,0.001796721,0.001516777,0.0004570255,0.00315062],"genre_scores_gemma":[0.9535081,0.000263585,0.04213055,0.0003260255,0.00006251481,0.0007793955,0.002067797,0.00003936132,0.0008226567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03846003,"threshold_uncertainty_score":0.1236159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02251281931125407,"score_gpt":0.3720834531456266,"score_spread":0.3495706338343725,"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."}}