{"id":"W2416530425","doi":"","title":"[Treatment of facial pigmentation after burns with traditional Chinese medicine mask and skin care].","year":2010,"lang":"en","type":"article","venue":"PubMed","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Dermatology","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":[0.0002285845,0.0002086114,0.0002438164,0.0002015696,0.0002426406,0.00008122547,0.0002305865,0.0003301981,0.002026328],"category_scores_gemma":[0.0002385194,0.00005635346,0.0003665651,0.0001382928,0.0001214432,0.0001995521,0.0001129774,0.0002519769,0.0002597004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009397575,"about_ca_system_score_gemma":0.0003348895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007196094,"about_ca_topic_score_gemma":0.001170944,"domain_scores_codex":[0.9999309,0.00001929947,0.00000741167,0.000008988843,0.0000185735,0.00001481771],"domain_scores_gemma":[0.9999492,0.000009262249,0.00001599795,0.000003478259,0.000008685583,0.0000133075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01455484,0.00957837,0.05294064,0.007773274,0.0004463141,0.007017129,0.0006994149,0.0006485826,0.06117848,0.0007779937,0.01309305,0.8312918],"study_design_scores_gemma":[0.01307829,0.183179,0.641428,0.001260241,0.00162594,0.04625672,0.0009681121,0.002927477,0.0378914,0.0009711456,0.07029435,0.0001193236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9530397,0.03664616,0.0008392137,0.001558476,0.0006966893,0.000679461,0.0001712854,0.00005647617,0.006312554],"genre_scores_gemma":[0.9687961,0.02157751,0.002478594,0.001909107,0.0007690344,0.0003954914,0.0003282487,0.000006785714,0.003739126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002026328,"threshold_uncertainty_score":0.006778717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01882315220084023,"score_gpt":0.2578643143440253,"score_spread":0.2390411621431851,"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."}}