{"id":"W2010911380","doi":"10.1097/01206501-200412000-00004","title":"Optimizing Skin Protection with Semipermeable Gloves","year":2004,"lang":"en","type":"article","venue":"Dermatitis","topic":"Infection Control in Healthcare","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Semipermeable membrane; Medicine; Transepidermal water loss; Permeability (electromagnetism); Surgery; Dermatology; Membrane; Chemistry; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006834487,0.00009980726,0.0001636994,0.00008781008,0.0001296205,0.00002605379,0.00002598612,0.00007407467,0.000103923],"category_scores_gemma":[0.00004582521,0.00008347315,0.00003754922,0.0001851301,0.00003228727,0.000159591,0.00000837397,0.000185385,0.000108487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002170911,"about_ca_system_score_gemma":0.0001283141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008509848,"about_ca_topic_score_gemma":0.0001905733,"domain_scores_codex":[0.9992744,0.00002268028,0.0001647931,0.0001489976,0.0001858237,0.0002032998],"domain_scores_gemma":[0.9995013,0.00001165437,0.00005845516,0.0001771773,0.0001611704,0.00009024386],"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":[0.00155033,0.003501259,0.18418,0.01740118,0.002517809,0.005459609,0.06662085,0.159525,0.05249602,0.02763366,0.03516217,0.4439521],"study_design_scores_gemma":[0.02863812,0.004140826,0.5402828,0.004751895,0.000380335,0.01951638,0.002517916,0.01156548,0.1938214,0.001855214,0.1909585,0.001571048],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8027638,0.0005781591,0.1088377,0.04831164,0.0007077797,0.002861856,0.0000139742,0.0008517366,0.0350733],"genre_scores_gemma":[0.9889135,0.00002567861,0.007725155,0.002692014,0.0002249189,0.0001197955,0.0000105047,0.00002189984,0.0002664818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4423811,"threshold_uncertainty_score":0.3403936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553018899733062,"score_gpt":0.2562183392775773,"score_spread":0.2406881502802466,"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."}}