{"id":"W3083817320","doi":"10.1097/der.0000000000000635","title":"Characterization of Tattoo Aftercare Products: Allergenic Ingredients and Marketing Claims","year":2020,"lang":"en","type":"article","venue":"Dermatitis","topic":"Tattoo and Body Piercing Complications","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Ingredient; Dermatology; Allergen; Allergic contact dermatitis; Traditional medicine; Allergy","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":[0.002654742,0.0004429057,0.0005865342,0.006688874,0.0004724908,0.0009943728,0.0005277047,0.0006392959,0.003569725],"category_scores_gemma":[0.005250945,0.0001674803,0.001263173,0.004466732,0.0004117285,0.001194584,0.0004241639,0.0003632705,0.0008950743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004372923,"about_ca_system_score_gemma":0.0007649303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001534244,"about_ca_topic_score_gemma":0.002032485,"domain_scores_codex":[0.9974463,0.0004015053,0.0005754721,0.0002738279,0.00121633,0.00008664036],"domain_scores_gemma":[0.9909084,0.004107232,0.003275182,0.0002869323,0.001318814,0.0001033134],"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":[0.0008576624,0.0003206168,0.2381693,0.05521013,0.0008795081,0.003919318,0.003020599,0.0004190342,0.05064128,0.001111042,0.009042309,0.6364092],"study_design_scores_gemma":[0.00005164514,0.001838349,0.6256272,0.01671877,0.002300525,0.03732891,0.003733842,0.0009497305,0.08205153,0.001203524,0.228073,0.0001229231],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4844696,0.4792315,0.0061433,0.001120721,0.0001769487,0.0008543687,0.007703658,0.0002226117,0.02007725],"genre_scores_gemma":[0.815449,0.1559488,0.01551256,0.001222587,0.0002005307,0.0004208749,0.006607297,0.000114654,0.004523729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006688874,"threshold_uncertainty_score":0.01403981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02378955095110568,"score_gpt":0.2572021326050469,"score_spread":0.2334125816539412,"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."}}