{"id":"W7165203577","doi":"10.2196/85575","title":"User-Reported Issues with Mental Health Apps: A Machine-Assisted Topic Analysis of Social Media Posts (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mental Health via Writing","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Social media; Mental health; mHealth; Content analysis; Health communication; Psychological intervention; Public health","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":[0.001894894,0.0005106776,0.0003569979,0.003563961,0.0007832674,0.00176143,0.0002856718,0.0006059926,0.002146611],"category_scores_gemma":[0.01074208,0.0001619839,0.0007440037,0.002139379,0.000255146,0.001587722,0.000987591,0.0006672585,0.001648897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000254115,"about_ca_system_score_gemma":0.0004124612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002489593,"about_ca_topic_score_gemma":0.006109442,"domain_scores_codex":[0.9985023,0.0005331358,0.0001914755,0.0002722353,0.0003705174,0.0001303361],"domain_scores_gemma":[0.9855596,0.01042442,0.001476424,0.000458091,0.001606022,0.000475394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.002341846,0.001341044,0.5617524,0.002280865,0.0005933943,0.0005475336,0.02089884,0.001027279,0.02719097,0.000586643,0.03552698,0.3459121],"study_design_scores_gemma":[0.00003999198,0.0007098267,0.9434978,0.0001945756,0.0003179959,0.000659363,0.009672538,0.0235432,0.005397394,0.0007247582,0.0151227,0.0001198477],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764049,0.0009795708,0.005009647,0.0005890909,0.0002847898,0.0002870339,0.01313592,0.0005472646,0.002761724],"genre_scores_gemma":[0.9664895,0.0005826147,0.01289744,0.0001272389,0.0004811463,0.0004429916,0.01504059,0.000110597,0.003827842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003563961,"threshold_uncertainty_score":0.01002127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05162045922553199,"score_gpt":0.4460344061951412,"score_spread":0.3944139469696092,"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."}}