{"id":"W3205218372","doi":"10.1097/der.0000000000000791","title":"Active Sensitization to Textile Dyes Disperse Blue 106 and Disperse Blue 124","year":2021,"lang":"en","type":"article","venue":"Dermatitis","topic":"Contact Dermatitis and Allergies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Textile; Sensitization; Blue light; Medicine; Dermatology; Materials science; Composite material; Optoelectronics","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":[0.0002765181,0.0002030193,0.0001684109,0.0004054723,0.0002468701,0.000314596,0.0001488717,0.0004708024,0.02037016],"category_scores_gemma":[0.0004550395,0.0001120329,0.00023421,0.0001653575,0.00008784938,0.0002301521,0.0002220636,0.0002015769,0.001751785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002199318,"about_ca_system_score_gemma":0.0001502695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007993074,"about_ca_topic_score_gemma":0.00104148,"domain_scores_codex":[0.9997814,0.0000297178,0.0000136127,0.00002819614,0.0001126706,0.00003446545],"domain_scores_gemma":[0.9998403,0.00005886367,0.00003097466,0.000008126002,0.00003747027,0.00002426448],"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":[0.003910421,0.002737699,0.2862999,0.001297691,0.00009871939,0.008923332,0.001420989,0.0002767764,0.2614851,0.002366,0.03302845,0.3981548],"study_design_scores_gemma":[0.0002818019,0.00878792,0.6977509,0.0004947287,0.0001450665,0.03092572,0.001083161,0.0006456547,0.1029668,0.001251145,0.1556037,0.00006338157],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9072546,0.01204121,0.001385031,0.002353587,0.0004433423,0.0001964409,0.0007515646,0.00009039949,0.07548386],"genre_scores_gemma":[0.9343229,0.005356611,0.0004860327,0.0005388313,0.0001310526,0.00003881044,0.0004162396,0.00001255185,0.0586969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02037016,"threshold_uncertainty_score":0.06814498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008370343400444036,"score_gpt":0.2421692211391294,"score_spread":0.2337988777386853,"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."}}