{"id":"W3109551122","doi":"10.1097/der.0000000000000668","title":"Allergen Content of Best-Selling Ethnic Versus Nonethnic Shampoos, Conditioners, and Styling Products","year":2020,"lang":"en","type":"article","venue":"Dermatitis","topic":"Contact Dermatitis and Allergies","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Allergen; Medicine; Dermatology; Ethnic group; Food science; Allergy; Chemistry; Immunology","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":[0.0004238096,0.0002573946,0.0001468382,0.00170868,0.000247687,0.0004851385,0.0001487237,0.0002318957,0.004863197],"category_scores_gemma":[0.0009929239,0.00007634037,0.0003041612,0.0009041938,0.000176076,0.0003824426,0.0003074545,0.0001829691,0.0006384864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001973088,"about_ca_system_score_gemma":0.0001649637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001049683,"about_ca_topic_score_gemma":0.001674203,"domain_scores_codex":[0.9996673,0.00004556384,0.00004599088,0.000059301,0.0001401769,0.00004167626],"domain_scores_gemma":[0.9989562,0.0002610165,0.0004784241,0.00004247648,0.0001682329,0.00009355264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006528411,0.0001517696,0.9630097,0.0002070255,0.00009433003,0.0003216881,0.0003782515,0.00005975243,0.01731178,0.00006354339,0.0004491059,0.01730029],"study_design_scores_gemma":[0.000005488748,0.0002842614,0.992709,0.00003921908,0.00004543041,0.0008848723,0.000499133,0.0001123032,0.004284116,0.0000400476,0.001091019,0.000005111019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975435,0.0005150546,0.00005819229,0.00001661795,0.0000037072,0.00001191674,0.0004873296,0.000005564449,0.001358162],"genre_scores_gemma":[0.9980445,0.0003365314,0.0003674423,0.00003291508,0.000008195291,0.000009566018,0.0006388308,0.000005471719,0.0005564425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004863197,"threshold_uncertainty_score":0.01626903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1152834208115407,"score_gpt":0.2930965663832603,"score_spread":0.1778131455717196,"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."}}