{"id":"W4416947090","doi":"10.2196/70010","title":"Perception, Quality, and Accuracy of Sunscreen Content on TikTok: SkinMedia Cross-Sectional Content Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Skin Protection and Aging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misinformation; Content analysis; Social media; Public health; Content (measure theory); Masking (illustration); Health communication","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":[0.0001843456,0.0001246787,0.0004754149,0.000489138,0.00009092392,0.00001896791,0.00006535916,0.000151239,0.000337332],"category_scores_gemma":[0.0003344054,0.000105848,0.0001801818,0.0003938388,0.0002219907,0.00005155485,0.00005093617,0.00020845,0.00001720296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005276657,"about_ca_system_score_gemma":0.00005368302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001989441,"about_ca_topic_score_gemma":0.00003797857,"domain_scores_codex":[0.9987022,0.000112536,0.0005428454,0.0002811129,0.0001880289,0.0001732883],"domain_scores_gemma":[0.9989842,0.0002860514,0.0001692461,0.0002329596,0.0002482056,0.00007936147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003061135,0.0001346034,0.988254,0.000110645,0.0004959707,0.00001486755,0.0001542736,0.000003561289,0.00541524,0.003159265,0.0004298995,0.00152154],"study_design_scores_gemma":[0.001830199,0.00005519815,0.993861,0.00003960512,0.0001364559,0.0001655092,0.0004413556,0.0002070422,0.001609068,0.0001608972,0.001412219,0.00008144222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909531,0.00009782242,0.001722561,0.004467756,0.0001756548,0.0004061064,0.00001081334,0.00005168297,0.002114429],"genre_scores_gemma":[0.9960535,0.00003302606,0.0001131875,0.002406391,0.00003702671,0.00007182843,0.00003967885,0.000006317958,0.001239015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005606987,"threshold_uncertainty_score":0.4316356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1267987112247821,"score_gpt":0.4217238987401681,"score_spread":0.2949251875153859,"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."}}