{"id":"W4417473117","doi":"10.1109/sipaim67325.2025.11283203","title":"Unsupervised Clustering of Depression Profiles in University Students Using Behavioral and Sociodemographic Features","year":2025,"lang":"","type":"article","venue":"","topic":"Mental Health via Writing","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mental health; Set (abstract data type); Depression (economics); Wearable computer; Depressive symptoms; Cluster analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009383435,0.0002897291,0.000353033,0.00139987,0.0002536826,0.000618668,0.0002668391,0.0002494638,0.0004466714],"category_scores_gemma":[0.003420641,0.00008662768,0.0004836985,0.0006822271,0.0001858173,0.0002462831,0.000488469,0.0002682019,0.000188383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003040695,"about_ca_system_score_gemma":0.0003158218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003613681,"about_ca_topic_score_gemma":0.004899178,"domain_scores_codex":[0.9995593,0.0001653063,0.00004647495,0.0001324203,0.0000424559,0.00005401754],"domain_scores_gemma":[0.9988012,0.000557693,0.0002118939,0.0001452133,0.0002096651,0.00007419415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005359846,0.0003560616,0.8708835,0.00006003243,0.0002571243,0.00009617193,0.0007940073,0.007898698,0.008829256,0.0002916372,0.0008098616,0.1091877],"study_design_scores_gemma":[0.00001858336,0.0002279857,0.8458383,0.00002580256,0.00007893535,0.0001695062,0.0009752725,0.1477385,0.002977025,0.001345023,0.0005724633,0.00003265649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882209,0.00005315902,0.01106698,0.00003688843,0.000008187908,0.00004295348,0.000288201,0.00005710091,0.0002254602],"genre_scores_gemma":[0.9926525,0.00002330227,0.0064301,0.00001123197,0.000005009727,0.00003084251,0.0006910085,0.000005579137,0.0001503982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003613681,"threshold_uncertainty_score":0.00718528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04589808450615254,"score_gpt":0.4021478489536582,"score_spread":0.3562497644475057,"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."}}