{"id":"W4408249562","doi":"10.1016/j.osnem.2025.100307","title":"An explainable ensemble model for revealing the level of depression in social media by considering personality traits and sentiment polarity pattern","year":2025,"lang":"en","type":"article","venue":"Online Social Networks and Media","topic":"Mental Health via Writing","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi; Lembaga Pengelola Dana Pendidikan; Kementerian Pendidikan dan Kebudayaan","keywords":"Social media; Polarity (international relations); Big Five personality traits; Sentiment analysis; Depression (economics); Personality; Psychology; Computer science; Data science; Artificial intelligence; Cognitive psychology; Social psychology; World Wide Web; Biology; Economics","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":[0.0008559598,0.0001308712,0.0003027004,0.0000350974,0.0003983172,0.00001711049,0.00007848239,0.0001988729,0.000008896159],"category_scores_gemma":[0.00004835432,0.0001181613,0.00004124724,0.00009144314,0.0001125001,0.00005695132,0.00005724859,0.0002732742,4.186693e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004156447,"about_ca_system_score_gemma":0.00004960117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004831572,"about_ca_topic_score_gemma":0.002770786,"domain_scores_codex":[0.9986742,0.0001859762,0.0003675775,0.0002838342,0.0001213952,0.0003670267],"domain_scores_gemma":[0.9991779,0.000516736,0.0001329548,0.00005804722,0.00004208391,0.00007221657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007340268,0.001170614,0.1030008,0.0009274477,0.0001451097,0.000009892273,0.1451308,0.000248452,0.003297559,0.004392077,0.009113419,0.7318297],"study_design_scores_gemma":[0.00800979,0.00008498754,0.5317442,0.0005740962,0.0001811796,0.000006507378,0.0543124,0.3977129,0.0001952867,0.006169572,0.0004146925,0.0005943984],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976405,0.001574351,0.01979995,0.001146112,0.000204262,0.0004168632,0.0003228907,0.00001375565,0.0001168108],"genre_scores_gemma":[0.9980139,0.00005928032,0.0006267807,0.0005868561,0.0004861327,0.00004436121,0.0001207136,0.00001422784,0.0000478139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7312353,"threshold_uncertainty_score":0.4818479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065663790263588,"score_gpt":0.3939350347637808,"score_spread":0.287368655737422,"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."}}