{"id":"W4317725818","doi":"10.1016/j.jaip.2023.01.012","title":"Skin Antiseptics for Atopic Dermatitis: Dissecting Facts From Fiction","year":2023,"lang":"en","type":"article","venue":"The Journal of Allergy and Clinical Immunology In Practice","topic":"Dermatology and Skin Diseases","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences; St. Joseph’s Healthcare Hamilton; Impact; McMaster University; Population Health Research Institute","funders":"Incyte","keywords":"Medicine; Triclosan; Staphylococcus aureus; Bleach; Atopic dermatitis; Dermatology; Antiseptic; Chlorhexidine; Anti-Infective Agents; Microbiology; Antimicrobial; Dentistry; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005495348,0.0004657275,0.0008503505,0.002467491,0.002038692,0.003681206,0.001249465,0.005802914,0.001825343],"category_scores_gemma":[0.03008083,0.0003131611,0.0004658406,0.0011509,0.009607674,0.008319283,0.001777704,0.01321251,0.0006601769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704087,"about_ca_system_score_gemma":0.001720217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001665659,"about_ca_topic_score_gemma":0.00348615,"domain_scores_codex":[0.9976997,0.001103479,0.0003469091,0.0002557998,0.0004864711,0.0001077113],"domain_scores_gemma":[0.9572934,0.03674664,0.002051889,0.0006855819,0.002603395,0.0006191542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003765109,0.0002488375,0.006565721,0.005983838,0.0002218081,0.005893169,0.01050352,0.0004660007,0.0009563136,0.1388697,0.4323562,0.3975584],"study_design_scores_gemma":[0.00008961004,0.000194648,0.005266506,0.01099214,0.000155862,0.00890971,0.009218397,0.000566268,0.0003657022,0.1138867,0.850252,0.0001024449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.00378147,0.5502853,0.0009735135,0.4197885,0.01642048,0.00001058179,0.00004871771,0.00001891665,0.008672547],"genre_scores_gemma":[0.1124084,0.5027636,0.002678067,0.262586,0.1163586,0.00004213634,0.00007966653,0.00005672401,0.003026879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005802914,"threshold_uncertainty_score":0.02906257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03802158007467898,"score_gpt":0.3815127379065482,"score_spread":0.3434911578318692,"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."}}