{"id":"W4408612571","doi":"10.2196/64792","title":"Evaluating the Content and Quality of Videos Related to Hypertrophic Scarring on TikTok in China: Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Dermatologic Treatments and Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cross-sectional study; Preprint; China; Quality (philosophy); Medicine; Pathology; Computer science; Geography; Physics; World Wide Web","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":[0.001701255,0.00009312358,0.0003656108,0.0001438869,0.00008545265,0.00000720341,0.00008185185,0.000111856,0.00001779147],"category_scores_gemma":[0.001238665,0.00005063182,0.00004506956,0.0001872047,0.0001444534,0.00001762223,0.0001452555,0.0003269922,0.00000503207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007803752,"about_ca_system_score_gemma":0.00006811827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004720433,"about_ca_topic_score_gemma":0.00002999708,"domain_scores_codex":[0.9983711,0.0004681973,0.0005703773,0.0002398455,0.0001648383,0.0001856564],"domain_scores_gemma":[0.9989425,0.0006115179,0.00008158112,0.0002353605,0.0000866491,0.00004236729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007636402,0.0002861959,0.9936095,0.00003509022,0.0000789899,0.000008557478,0.0004774351,0.0004426881,0.001787098,0.001413093,0.0000119531,0.001085756],"study_design_scores_gemma":[0.002543214,0.001107312,0.9949084,0.00004746074,0.00000887756,0.00001567615,0.0002412221,0.0005962923,0.0000427739,0.0004415007,0.000008910522,0.00003836882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953033,0.0001138822,0.000003826317,0.001742376,0.00009102193,0.001283292,0.000002361017,0.00001718722,0.001442751],"genre_scores_gemma":[0.9986965,0.000007317814,0.00005151317,0.0004676007,0.000007840713,0.0002029247,0.000002449903,0.000003622771,0.0005602281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0033932,"threshold_uncertainty_score":0.2064706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2650258204878493,"score_gpt":0.5422546507758792,"score_spread":0.2772288302880299,"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."}}