{"id":"W4413321649","doi":"10.1109/icmisi65108.2025.11115362","title":"Machine Learning and Embedding Models for Multimodal Mental Health Diagnostics","year":2025,"lang":"en","type":"article","venue":"","topic":"Mental Health via Writing","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Embedding; Mental health; Artificial intelligence; Machine learning; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001241343,0.001141059,0.0006187641,0.0008399084,0.0002334076,0.0008637762,0.000891777,0.0009733666,0.002341214],"category_scores_gemma":[0.004686751,0.0003401619,0.0006650304,0.0008644105,0.0003604838,0.0009869457,0.0008710062,0.001869691,0.001081761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006011577,"about_ca_system_score_gemma":0.0005422676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004464428,"about_ca_topic_score_gemma":0.004449045,"domain_scores_codex":[0.9995789,0.0001797251,0.00002407106,0.000107862,0.00006084298,0.00004857208],"domain_scores_gemma":[0.9985481,0.0009958998,0.0001230249,0.0000956698,0.0002016828,0.00003558589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002258332,0.0002433844,0.006370834,0.00018598,0.000181707,0.0001761499,0.0001365405,0.619669,0.002759251,0.008928902,0.006437337,0.354685],"study_design_scores_gemma":[0.000003015794,0.00001565322,0.0003324494,0.00001112488,0.000006997148,0.00001394975,0.00001021255,0.994312,0.0002972804,0.004527181,0.0004647947,0.000005187704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04804892,0.003248557,0.9423331,0.001371605,0.0001973749,0.00007789955,0.0009509042,0.001464933,0.002306668],"genre_scores_gemma":[0.8221673,0.001648981,0.1628666,0.0004397086,0.0003098688,0.0002889139,0.002730164,0.0001276661,0.009420841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004464428,"threshold_uncertainty_score":0.00887686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03737870823630274,"score_gpt":0.4278973288613379,"score_spread":0.3905186206250352,"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."}}