{"id":"W7117325185","doi":"10.2139/ssrn.5962741","title":"Responsible Use of Large Language Models in Digital Health: An Equity First Governance Framework","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Equity (law); Readability; Audit; Health equity; Mental health; Common ground","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0270582,0.000665532,0.00108976,0.001535262,0.003999664,0.008707309,0.002673372,0.004887349,0.01241664],"category_scores_gemma":[0.06289868,0.0007903316,0.001246441,0.001159673,0.02020149,0.01771262,0.009004139,0.006387026,0.0009010033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005213628,"about_ca_system_score_gemma":0.008142281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007370485,"about_ca_topic_score_gemma":0.006661916,"domain_scores_codex":[0.9790875,0.01289811,0.0007735455,0.002369873,0.002630811,0.002240188],"domain_scores_gemma":[0.9361796,0.03857568,0.004854235,0.01188568,0.005159986,0.003344822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000786104,0.00002291791,0.0004423544,0.0000081609,0.000008041805,0.00002768884,0.0006463297,0.000667484,0.00006209364,0.9951993,0.0005379885,0.002369932],"study_design_scores_gemma":[0.00001644041,0.00001166897,0.0002405434,0.0000189773,0.000009733481,0.00002319436,0.000330845,0.004625295,0.0001464555,0.9917033,0.002864007,0.0000094344],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0808015,0.0004677518,0.6767289,0.04115414,0.0002861402,0.000425237,0.0001972356,0.0002521174,0.199687],"genre_scores_gemma":[0.958572,0.0001055129,0.02884304,0.001120359,0.0002061804,0.0003442605,0.00003750922,0.0001010966,0.01067018],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0270582,"threshold_uncertainty_score":0.1430991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05076218708608521,"score_gpt":0.4216138957297857,"score_spread":0.3708517086437005,"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."}}