{"id":"W3002788820","doi":"10.1111/jocd.13290","title":"Correlation between serum IL 37 levels with keloid severity","year":2020,"lang":"en","type":"article","venue":"Journal of Cosmetic Dermatology","topic":"Dermatologic Treatments and Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Keloid; Medicine; Extracellular matrix; Correlation; Internal medicine; Dermatology; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001391866,0.0001582991,0.000728704,0.0001155795,0.0000720781,0.00001932525,0.0001171753,0.0001495402,0.0002174611],"category_scores_gemma":[0.0001613971,0.00009688618,0.000119723,0.0002608657,0.0001551972,0.0001210773,0.00004221889,0.0005201975,0.00008187161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004745105,"about_ca_system_score_gemma":0.0003158426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001911322,"about_ca_topic_score_gemma":6.343355e-7,"domain_scores_codex":[0.9984018,0.000155087,0.0005540552,0.0001501484,0.0004455485,0.0002934138],"domain_scores_gemma":[0.9986409,0.0001837761,0.0003391416,0.0001384506,0.0003180311,0.0003797225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007343392,0.0002453186,0.9638777,0.0002253916,0.0008036944,0.008775597,0.0005841112,0.00003103205,0.0002837892,0.0001779709,0.0113171,0.01294394],"study_design_scores_gemma":[0.00733179,0.001806641,0.9002557,0.0001473903,0.0006102152,0.05335444,0.0003631082,0.0006262491,0.002516493,0.0005499457,0.03222619,0.0002118743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447213,0.0004087482,0.006373423,0.0455882,0.0001342352,0.0002382851,0.00001408814,0.00002729278,0.00249441],"genre_scores_gemma":[0.9961283,0.00006817969,0.002102308,0.001400726,0.0001247457,0.000001933397,0.000005274312,0.00001676063,0.00015183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06362206,"threshold_uncertainty_score":0.3950904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05084794909021292,"score_gpt":0.3180951324747069,"score_spread":0.267247183384494,"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."}}