{"id":"W4409906815","doi":"10.2196/66845","title":"#GenderAffirmingHormoneTherapy and Health Information on TikTok: Thematic Content Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Transgender; Misinformation; Content analysis; Relevance (law); Social media; Psychology; Test (biology); Medical education; Qualitative research; Health care; Medicine; Applied psychology; World Wide Web; Computer science; Political science; Sociology","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":[0.000881158,0.0001796159,0.0005418113,0.0007047679,0.0001983599,0.00002822411,0.0001717037,0.0002441962,0.0001244489],"category_scores_gemma":[0.00006258993,0.0001537573,0.0001197203,0.0004971387,0.0001087294,0.0001176522,0.00005270616,0.0003061802,0.0001767145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117995,"about_ca_system_score_gemma":0.000109484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003201526,"about_ca_topic_score_gemma":0.0002881938,"domain_scores_codex":[0.9981545,0.0003419093,0.0007504556,0.0002318097,0.00008782635,0.0004334594],"domain_scores_gemma":[0.9987711,0.0002850487,0.0003181991,0.0004384534,0.00006351756,0.0001236551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002004181,0.000181577,0.5532801,0.0004827411,0.0008910062,0.000001581146,0.008034904,0.000137465,0.000004195457,0.3125737,0.06003247,0.06417979],"study_design_scores_gemma":[0.0009145606,0.0003052567,0.9842655,0.00001202414,0.00009654344,0.000005779478,0.0004640992,0.0006048269,6.410943e-7,0.005928012,0.00726147,0.000141308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9196467,0.001194237,0.003180044,0.02774536,0.0006248864,0.0009088104,0.00001926538,0.0001494901,0.04653117],"genre_scores_gemma":[0.9647174,0.0005381111,0.0001734481,0.03247306,0.00007147807,0.0002110701,0.00004485306,0.000006567543,0.001763994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4309853,"threshold_uncertainty_score":0.6270041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1497285859626887,"score_gpt":0.4689929557008755,"score_spread":0.3192643697381868,"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."}}