{"id":"W4413679691","doi":"10.1109/compsac65507.2025.00109","title":"Personalized Mental Health Assistance with Large Language Models","year":2025,"lang":"en","type":"article","venue":"","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Mental health; Human–computer interaction; Psychology; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003496588,0.0001134283,0.000168002,0.0000810081,0.000237996,0.0000807434,0.0005073372,0.00002942521,0.00005415745],"category_scores_gemma":[0.00001077586,0.00008710049,0.00003225177,0.0004001502,0.00002285676,0.0002356667,0.0001485558,0.0001905683,0.00001338878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001251644,"about_ca_system_score_gemma":0.0002865429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004906734,"about_ca_topic_score_gemma":0.0005153401,"domain_scores_codex":[0.998728,0.0001340879,0.0001571699,0.0003665886,0.0002593025,0.0003547878],"domain_scores_gemma":[0.9993008,0.00004197318,0.0000615207,0.0004617788,0.0000398478,0.00009412293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001868595,0.00005233736,0.003755077,0.00009565667,0.00001570101,0.000007917457,0.004834526,0.0001576839,0.000008875259,0.9746111,0.007846128,0.008596294],"study_design_scores_gemma":[0.001926711,0.0002006964,0.005350459,0.0002233293,0.000002721525,0.00001875822,0.00132329,0.9426049,0.00005656936,0.002524845,0.04543871,0.0003289881],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004119257,0.001129466,0.9266107,0.03773932,0.0001497892,0.0002480462,0.000007694419,0.0003998519,0.02959585],"genre_scores_gemma":[0.8202346,0.00002273533,0.1440911,0.01301867,0.00002146131,0.00002344521,0.00001171742,0.00001028789,0.02256597],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9720863,"threshold_uncertainty_score":0.3551855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145985500713928,"score_gpt":0.3151821270652329,"score_spread":0.3037222720580936,"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."}}