{"id":"W4416928964","doi":"10.15353/un-disturbed.v2i2.6652","title":"The Risks and Potential of Large Language Models in Mental Health Care","year":2025,"lang":"","type":"article","venue":"(Un)Disturbed A Journal of Feminist Voices","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Harm; Mental health; Set (abstract data type); Health care; Power (physics); Mental health care; Feminism","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":[0.1291217,0.001077625,0.0009540755,0.003032237,0.008521002,0.01564573,0.004592281,0.009484033,0.009964331],"category_scores_gemma":[0.2199168,0.001635891,0.001557257,0.002154022,0.04291491,0.03968674,0.02791356,0.01457721,0.002961774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01002147,"about_ca_system_score_gemma":0.009829141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006504631,"about_ca_topic_score_gemma":0.004768784,"domain_scores_codex":[0.8379943,0.1357484,0.002757128,0.004965628,0.016106,0.002428426],"domain_scores_gemma":[0.6176669,0.3329876,0.01189457,0.02610661,0.00794114,0.003403121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002017941,0.00008977218,0.004485548,0.0004067875,0.00005601654,0.0004020588,0.0452695,0.0013947,0.0002482872,0.8521439,0.01271074,0.08259078],"study_design_scores_gemma":[0.00006978027,0.0001380729,0.0009312957,0.001523477,0.00006378737,0.001113899,0.02198037,0.00618351,0.0008173711,0.8350475,0.1320266,0.0001043224],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04683366,0.0174001,0.1599965,0.6592164,0.00127781,0.0002419202,0.0003213618,0.0007881389,0.1139241],"genre_scores_gemma":[0.8573499,0.008663539,0.06578924,0.05298048,0.001774529,0.001643194,0.0002094181,0.0007043094,0.01088532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1291217,"threshold_uncertainty_score":0.6828688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02039112029149322,"score_gpt":0.3919855553970605,"score_spread":0.3715944351055673,"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."}}