{"id":"W4415887383","doi":"10.2196/73188","title":"Personalization Strategies for Increasing Engagement With Digital Mental Health Resources: Sequential Multiple Assignment Randomized Trial","year":2025,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health","keywords":"Personalization; Mental health; Randomized controlled trial; Digital health; User engagement; Demographics; Help-seeking","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":[0.007766531,0.003231741,0.005553005,0.001449306,0.001246617,0.002039685,0.001872762,0.005072232,0.01612277],"category_scores_gemma":[0.0159385,0.001523105,0.003753568,0.001011547,0.002440684,0.003130153,0.001618423,0.004248696,0.00147264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001843041,"about_ca_system_score_gemma":0.003321935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001981424,"about_ca_topic_score_gemma":0.002044781,"domain_scores_codex":[0.9920731,0.004964047,0.0006769296,0.001138746,0.0004997512,0.0006473572],"domain_scores_gemma":[0.992241,0.003977373,0.001513981,0.0006821519,0.000475344,0.001109975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9575304,0.02026038,0.0003400153,0.001149526,0.0009945355,0.00002711373,0.000116791,0.0004897715,0.0003426888,0.0003248437,0.0005976268,0.01782628],"study_design_scores_gemma":[0.9506724,0.04668864,0.0003682537,0.00009899956,0.0003247244,0.000009969997,0.00002345515,0.0008054585,0.0001385205,0.0005659348,0.0002884657,0.00001520594],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8618512,0.005606357,0.008098814,0.002315643,0.003988301,0.1106936,0.001528707,0.001140425,0.004777015],"genre_scores_gemma":[0.8278669,0.001803584,0.01713978,0.001800364,0.001558424,0.1458,0.0003866401,0.00006521641,0.003579022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01612277,"threshold_uncertainty_score":0.053936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04639193887412455,"score_gpt":0.4133026892514966,"score_spread":0.366910750377372,"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."}}