{"id":"W4328029093","doi":"10.2196/44413","title":"Cross-sectional Analysis of Dermatologists and Sponsored Content on TikTok","year":2023,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cross-sectional study; Medicine; Pathology","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":[0.0003942683,0.00007889322,0.0003076901,0.0005416215,0.0003067385,0.00002255593,0.0001365934,0.0002312123,0.0001406679],"category_scores_gemma":[0.00180219,0.00008187913,0.00008162215,0.001480441,0.0006900614,0.0000677581,0.0000272728,0.0001130766,0.00007835415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001036575,"about_ca_system_score_gemma":0.000225436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00119375,"about_ca_topic_score_gemma":0.0009549086,"domain_scores_codex":[0.998467,0.000383251,0.0003491531,0.0002190191,0.000264922,0.0003166677],"domain_scores_gemma":[0.9968489,0.002564942,0.0001772992,0.0001368532,0.0001503008,0.0001217258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003056697,0.00002796715,0.9790216,0.00002318681,0.00008388296,0.000009653794,0.005326235,0.00001048938,0.00002482061,0.01446996,0.0004441475,0.0005274951],"study_design_scores_gemma":[0.0001672666,0.0000132043,0.9906049,0.000004006671,0.00003306234,0.000006998866,0.001095028,0.0001624498,0.00007052674,0.0003491839,0.007424839,0.00006849627],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931297,0.00005914253,0.000006339278,0.003852061,0.001337238,0.0004949788,0.00001391212,0.0001152042,0.000991385],"genre_scores_gemma":[0.9989586,0.0001052946,0.00003575024,0.0002550123,0.00007891663,0.0004181798,0.00003533776,0.000006203881,0.000106684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01412078,"threshold_uncertainty_score":0.3338934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2217920397442575,"score_gpt":0.4741823122892198,"score_spread":0.2523902725449623,"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."}}