{"id":"W4415552902","doi":"10.2196/87138","title":"Early Depression Detection in Social Media: Monitoring of Individual Nighttime Dynamics and LLM Analysis (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Mental Health via Writing","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpretability; Warning system; Leverage (statistics); Social media; Timestamp; Key (lock); Social dynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007682677,0.0007401546,0.0003369054,0.0009519342,0.0002695771,0.001380753,0.0005350403,0.0005470179,0.004302206],"category_scores_gemma":[0.003595283,0.0002222144,0.0008715999,0.0006181641,0.0002080719,0.0009402382,0.0006670967,0.0006389573,0.002608054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004147314,"about_ca_system_score_gemma":0.0005495007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004963736,"about_ca_topic_score_gemma":0.005483936,"domain_scores_codex":[0.9996334,0.00008533909,0.00002983282,0.0001267642,0.00008992105,0.00003463468],"domain_scores_gemma":[0.9990227,0.0004238764,0.0001439353,0.0001311053,0.0002211173,0.00005715682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008996791,0.0004582298,0.1323074,0.0007434053,0.0003732698,0.0008411924,0.0006304681,0.0623581,0.03630739,0.01318141,0.06073976,0.6911596],"study_design_scores_gemma":[0.00002891808,0.0001775406,0.06816503,0.0001039062,0.000105894,0.0003052207,0.0002646066,0.8933019,0.01412141,0.008017,0.01532733,0.00008117146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2597321,0.001820376,0.6985739,0.00446905,0.001806385,0.0004703166,0.01500691,0.007452438,0.0106684],"genre_scores_gemma":[0.753011,0.00138519,0.2215298,0.0005157451,0.0007772919,0.0004261681,0.008199262,0.0003892506,0.01376635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004963736,"threshold_uncertainty_score":0.01439232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03059162218328379,"score_gpt":0.3918864888182709,"score_spread":0.3612948666349871,"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."}}