{"id":"W3042927633","doi":"10.1097/der.0000000000000584","title":"Identifying Acrylates in Medical Adhesives","year":2020,"lang":"en","type":"article","venue":"Dermatitis","topic":"Surgical Sutures and Adhesives","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Adhesive; Dermatology; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001193644,0.001070707,0.0005548087,0.008248111,0.0004987125,0.001700171,0.000438469,0.001055601,0.005944678],"category_scores_gemma":[0.001868925,0.0002826869,0.0006295086,0.004055266,0.0003712366,0.001569997,0.0009379002,0.0008493962,0.003592001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003670576,"about_ca_system_score_gemma":0.0007334013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001045933,"about_ca_topic_score_gemma":0.002181768,"domain_scores_codex":[0.998422,0.0001969455,0.0001577737,0.0002462106,0.0008233941,0.0001536736],"domain_scores_gemma":[0.998609,0.0002724366,0.0004921014,0.00004342458,0.000477668,0.0001052633],"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":[0.0004753738,0.0002228901,0.02958092,0.01019275,0.0002409334,0.001517488,0.0003003623,0.0002649,0.2473556,0.002287178,0.02195735,0.6856043],"study_design_scores_gemma":[0.00001857551,0.0008429859,0.08480158,0.002768988,0.0004625884,0.01243845,0.0009120194,0.0003192126,0.1470246,0.001775341,0.748542,0.0000936046],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1104538,0.8344598,0.01058549,0.003745961,0.002847338,0.0004094472,0.004628033,0.0006440139,0.03222617],"genre_scores_gemma":[0.2274243,0.6878664,0.03883599,0.004576989,0.003059858,0.0003126462,0.005910086,0.0002134829,0.03180022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008248111,"threshold_uncertainty_score":0.01988691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02962645220887996,"score_gpt":0.296582759762423,"score_spread":0.2669563075535431,"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."}}