{"id":"W4413401092","doi":"10.3390/bioengineering12080890","title":"Mapping Emerging Scientific Trends in Chronic Skin Disorders Using Machine Learning-Based Bibliometrics","year":2025,"lang":"en","type":"article","venue":"Bioengineering","topic":"Dermatology and Skin Diseases","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bibliometrics; Terminology; European union; Data science; Medicine; Web of science; Computer science; Business; Pathology; Library science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00022218,0.0001658359,0.0002546112,0.01629145,0.0001346417,0.00005022374,0.0001047608,0.0000885452,0.00007763896],"category_scores_gemma":[0.0001568161,0.0001739811,0.0001058325,0.01779055,0.00007084756,0.00008460019,0.00004860109,0.0002634111,0.000005260262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002328257,"about_ca_system_score_gemma":0.0001472077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004846571,"about_ca_topic_score_gemma":0.00004081407,"domain_scores_codex":[0.9988717,0.00002492513,0.0002621195,0.0002956983,0.0001672168,0.000378318],"domain_scores_gemma":[0.9995822,0.00006299133,0.00003952527,0.0002080165,0.00002901152,0.00007826979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006451986,0.0002349394,0.6023657,0.001138911,0.0001286288,0.0001423679,0.0002038365,0.3399189,0.01696781,0.00007617547,0.0008184334,0.03793975],"study_design_scores_gemma":[0.001388846,0.00001997933,0.09778102,0.0003919246,0.00003691476,0.000008338542,0.00005596803,0.8843574,0.001844465,0.000009743222,0.01391983,0.000185598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584042,0.01280602,0.02661899,0.0004513671,0.0006889008,0.0001533757,0.00000497144,0.0002381906,0.0006339282],"genre_scores_gemma":[0.9987038,0.00004708904,0.0006752923,0.00004199745,0.00003157125,0.000009121189,0.00005295521,0.0000201096,0.000418032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5444385,"threshold_uncertainty_score":0.994858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779768064097005,"score_gpt":0.2929390446097284,"score_spread":0.2751413639687583,"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."}}