{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002970859,0.0001578638,0.0001993228,0.0004615267,0.0001854486,0.0002877676,0.0000901216,0.0001609097,0.00336714],"category_scores_gemma":[0.001433739,0.0001230814,0.0001890109,0.0002703825,0.0001717377,0.0001396984,0.0001773047,0.0003984252,0.0002280087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001135374,"about_ca_system_score_gemma":0.0001724243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004222065,"about_ca_topic_score_gemma":0.0005460945,"domain_scores_codex":[0.9997774,0.00005044523,0.00003095889,0.00003914672,0.00006931049,0.00003271171],"domain_scores_gemma":[0.9984618,0.0004891567,0.0005912347,0.0000449007,0.0001856537,0.000227221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000151332,0.00003572771,0.9972697,0.00001418128,0.00002530214,0.0001211387,0.00005773052,0.00003601888,0.001204726,0.00001320529,0.00003713553,0.001033865],"study_design_scores_gemma":[0.000009060329,0.0004436333,0.9958237,0.00001019341,0.00004355491,0.002238187,0.0002115548,0.0002206615,0.0006718163,0.000059217,0.0002634982,0.00000486431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991311,0.0002768018,0.0001002863,0.00002270897,0.000003697872,0.000008222668,0.0000947325,0.000003043511,0.0003594699],"genre_scores_gemma":[0.9996068,0.00005394834,0.0001059129,0.000006641276,0.000003713188,0.000004673181,0.00006898373,6.035546e-7,0.0001487608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00336714,"threshold_uncertainty_score":0.01126415,"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."}}