{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006982815,0.0009372258,0.001616856,0.1474251,0.001052637,0.005490654,0.000875077,0.0008111634,0.005146257],"category_scores_gemma":[0.04187642,0.0002625711,0.001856355,0.1429525,0.00063262,0.00331301,0.002305251,0.0007378325,0.001847605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002104208,"about_ca_system_score_gemma":0.004907978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009549454,"about_ca_topic_score_gemma":0.01157917,"domain_scores_codex":[0.9907436,0.00164104,0.002410938,0.001425332,0.003279335,0.0004998894],"domain_scores_gemma":[0.9616457,0.02265033,0.008254458,0.001482586,0.004986618,0.0009803178],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004790821,0.0002412572,0.5036053,0.02287833,0.002449709,0.001253063,0.002079409,0.01049231,0.004114699,0.01085955,0.03475269,0.4067946],"study_design_scores_gemma":[0.0001228673,0.0002508508,0.7162277,0.004236307,0.002361953,0.002234467,0.003064139,0.03370965,0.003971218,0.02082767,0.2127334,0.0002598425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.486175,0.07575829,0.02931855,0.006186083,0.0006158925,0.001204282,0.3487215,0.003671428,0.048349],"genre_scores_gemma":[0.7487645,0.03498903,0.05087221,0.0003903301,0.0008126012,0.001404391,0.1589156,0.0003375108,0.003513805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9930172,"threshold_uncertainty_score":0.03692913,"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."}}