{"id":"W4412766492","doi":"10.2196/69533","title":"Toward Human-Centered Artificial Intelligence for Users’ Digital Well-Being: Systematic Review, Synthesis, and Future Directions","year":2025,"lang":"en","type":"review","venue":"JMIR Human Factors","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Computer science; Artificial intelligence; Data science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.03331539,0.001455925,0.005441357,0.01709369,0.001038818,0.006319198,0.002115282,0.002505929,0.003560676],"category_scores_gemma":[0.09158299,0.000976703,0.004787386,0.01613327,0.002391561,0.007101651,0.00312677,0.002710791,0.0003415536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006150522,"about_ca_system_score_gemma":0.03308612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009001302,"about_ca_topic_score_gemma":0.02646035,"domain_scores_codex":[0.9837281,0.007796539,0.004453903,0.001125424,0.002492837,0.0004033576],"domain_scores_gemma":[0.8898394,0.0904827,0.008679025,0.001534234,0.008585408,0.0008791633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0000808246,0.00005153453,0.001546549,0.8479755,0.003327175,0.00008894937,0.00233897,0.0002340768,0.0001555242,0.004942858,0.003239073,0.136019],"study_design_scores_gemma":[0.0000446549,0.00009904402,0.00258832,0.948525,0.01015539,0.000160444,0.002182348,0.0001818133,0.0001193987,0.003132514,0.03276638,0.00004477934],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000751703,0.9964961,0.0006861911,0.001232941,0.0001697122,0.0002220272,0.0001246301,0.000008613346,0.0003080417],"genre_scores_gemma":[0.01359396,0.9807814,0.003036439,0.001424423,0.0001196277,0.0008151704,0.0001302865,0.000006416996,0.00009228678],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03331539,"threshold_uncertainty_score":0.1761907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1297502247503597,"score_gpt":0.4448763562111748,"score_spread":0.315126131460815,"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."}}