{"id":"W7132904337","doi":"","title":"Human-centered AI for Mental Health: From Risk Prediction to Physician-aligned Design Guidelines","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Risk assessment; Decision support system; Cognition; Key (lock); Predictive analytics; Clinical decision support system; Medical record; Clinical decision making","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":[0.01193321,0.0009189134,0.0004400361,0.001195674,0.0007987558,0.004953212,0.002191209,0.001524627,0.003030748],"category_scores_gemma":[0.05149967,0.0006525317,0.0005214208,0.0008281363,0.002280896,0.004509827,0.003030939,0.003342478,0.001643137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533575,"about_ca_system_score_gemma":0.004552389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002667645,"about_ca_topic_score_gemma":0.003385944,"domain_scores_codex":[0.9889765,0.007514177,0.0006779969,0.000845588,0.001762867,0.0002228059],"domain_scores_gemma":[0.9747633,0.01787627,0.0009626448,0.002382119,0.003258664,0.0007571168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002312071,0.0004191711,0.006947374,0.001390803,0.0001531328,0.0003537377,0.007007173,0.08172701,0.005821146,0.2275098,0.04408414,0.6243553],"study_design_scores_gemma":[0.0001056363,0.0002268219,0.001183542,0.001021866,0.00009447883,0.000256946,0.002262214,0.4279111,0.006570873,0.4461226,0.1141465,0.0000974687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01121096,0.001422919,0.9474151,0.02801255,0.0001838783,0.0004348049,0.0003048607,0.002089029,0.008925954],"genre_scores_gemma":[0.1527537,0.001494074,0.8395207,0.002454506,0.0001227918,0.0005842157,0.0006626793,0.0003421128,0.002065239],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01193321,"threshold_uncertainty_score":0.06310958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1054484266205359,"score_gpt":0.4597424001501917,"score_spread":0.3542939735296559,"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."}}