{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006776301,0.0003090361,0.00036895,0.004120981,0.001923972,0.002179173,0.0006288982,0.0005215473,0.00354058],"category_scores_gemma":[0.01638911,0.000158755,0.0003456051,0.005583183,0.002193266,0.002283033,0.002482112,0.0006046252,0.0002715989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004093259,"about_ca_system_score_gemma":0.003865219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005907702,"about_ca_topic_score_gemma":0.008509122,"domain_scores_codex":[0.9970182,0.001810307,0.0002248433,0.0002522962,0.0004184912,0.0002758482],"domain_scores_gemma":[0.9873925,0.009953354,0.0009553046,0.0002198738,0.001219512,0.0002594277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001873321,0.00009329789,0.02139587,0.004846435,0.00003308595,0.001015122,0.8705308,0.0001979029,0.003920468,0.006037643,0.007376161,0.08436591],"study_design_scores_gemma":[0.00001965385,0.00007333024,0.0428699,0.002812959,0.00005409998,0.0003413457,0.8951153,0.0009087557,0.00150762,0.002035833,0.05421765,0.00004347396],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963724,0.001373594,0.00743785,0.003009142,0.0001711033,0.003831575,0.004645315,0.0000452975,0.01576214],"genre_scores_gemma":[0.9630386,0.002040229,0.02076891,0.0008461719,0.00007712201,0.005848746,0.002515785,0.00009370674,0.004770747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9978209,"threshold_uncertainty_score":0.03583694,"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."}}