{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004789245,0.0001916684,0.0003156929,0.002264378,0.0004997177,0.001020347,0.0003036761,0.0003225008,0.002045044],"category_scores_gemma":[0.01656267,0.0002856562,0.0004904802,0.0015149,0.0005997919,0.001324604,0.001229391,0.0005178272,0.0003244096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009396886,"about_ca_system_score_gemma":0.0006481215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003766823,"about_ca_topic_score_gemma":0.005372138,"domain_scores_codex":[0.9986405,0.0004706308,0.0001965731,0.0001626211,0.0003461757,0.0001834934],"domain_scores_gemma":[0.9879698,0.004888058,0.003645948,0.0003536407,0.002610878,0.0005317446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002613253,0.0003085217,0.9642943,0.00038926,0.00007735532,0.0000959296,0.02080327,0.00007210336,0.001096446,0.0000683678,0.0005147234,0.01201845],"study_design_scores_gemma":[0.00001012898,0.0002843442,0.9791194,0.0001263948,0.00005012616,0.0001272465,0.01860162,0.000305058,0.0004242658,0.00002992256,0.0009050063,0.00001657431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988004,0.00005325019,0.0001412508,0.00002595083,0.000002769449,0.0001461612,0.0004571193,0.000003315447,0.0003697151],"genre_scores_gemma":[0.9973219,0.0001689968,0.0007373026,0.00005227743,0.000008114816,0.0004711452,0.000904704,0.000007690709,0.0003278957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004789245,"threshold_uncertainty_score":0.02532828,"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."}}