{"id":"W4412002355","doi":"10.2196/48230","title":"Messaging and Information in Mental Health Communication on Social Media: Computational and Quantitative Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Mental Health via Writing","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Thematic analysis; Psychology; Psychological intervention; Social media; Cognition; Sentiment analysis; Affect (linguistics); Public health; Content analysis; Discourse analysis; Health communication; Social psychology; Applied psychology; Public relations; Sociology; Political science; Computer science; Qualitative research; Medicine; Linguistics; Psychiatry; Communication; World Wide Web; Nursing; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009450121,0.00009208379,0.000301,0.0005340312,0.0002171311,0.00001222341,0.00007218019,0.0001099878,0.00002204003],"category_scores_gemma":[0.00006933587,0.00009887959,0.00002272999,0.0003911503,0.0001467686,0.0001832187,0.0000930297,0.0002645041,0.00000763699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001408018,"about_ca_system_score_gemma":0.00004166684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000277062,"about_ca_topic_score_gemma":0.0002777846,"domain_scores_codex":[0.9984386,0.000601842,0.0005356787,0.0001518376,0.00006804664,0.0002039703],"domain_scores_gemma":[0.9985177,0.001086634,0.0002292112,0.00009646505,0.00002894089,0.0000410696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002268774,0.0000675966,0.2616643,0.00007548261,0.0001193102,4.059106e-7,0.05018134,0.0005319205,0.000001039333,0.6681451,0.001881657,0.01710498],"study_design_scores_gemma":[0.0009503924,0.00004986204,0.9711055,0.00003498377,0.00001099608,0.000001981121,0.009099952,0.0122736,2.178595e-7,0.005861955,0.0005398453,0.00007072494],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785277,0.000416988,0.0008104282,0.0145298,0.00007930624,0.0003799961,0.00003273402,0.00003029715,0.005192698],"genre_scores_gemma":[0.9914041,0.00006185845,0.001645681,0.006506073,0.000005738293,0.00009351337,0.0002735691,0.000002652661,0.000006815032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7094412,"threshold_uncertainty_score":0.4032193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06374021438204641,"score_gpt":0.469786205254034,"score_spread":0.4060459908719876,"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."}}