{"id":"W3012049276","doi":"10.1097/der.0000000000000553","title":"Accuracy of Product Ingredient Labeling: Comparing Drugstore Products with Online Databases and Online Retailers","year":2020,"lang":"en","type":"article","venue":"Dermatitis","topic":"Contact Dermatitis and Allergies","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ingredient; Medicine; Product (mathematics); Database; Advertising; Process engineering; Business; Computer science; Engineering","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":[0.01344114,0.0002622648,0.0004133114,0.00435819,0.000425271,0.001984284,0.0007330113,0.00059314,0.002052697],"category_scores_gemma":[0.07298264,0.0001855938,0.0007191556,0.003811055,0.00057953,0.002156135,0.001641869,0.0005287225,0.0006952679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007130559,"about_ca_system_score_gemma":0.0004304247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003254992,"about_ca_topic_score_gemma":0.003193321,"domain_scores_codex":[0.97824,0.005933245,0.005558745,0.00205255,0.007494519,0.0007210794],"domain_scores_gemma":[0.8732292,0.05817505,0.04588615,0.007750642,0.01405601,0.000902921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003898256,0.00004510798,0.9881359,0.0001274965,0.0001117697,0.00005115963,0.0003664533,0.00009234845,0.0002648689,0.00006181137,0.0003352461,0.01001798],"study_design_scores_gemma":[0.00002477772,0.0003221717,0.9872311,0.0001849528,0.0002404307,0.001122496,0.001428275,0.00226773,0.002846132,0.0002607004,0.004047561,0.0000237841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903482,0.001445772,0.001585683,0.0002808817,0.00005679404,0.0000835921,0.001949044,0.00005265641,0.004197419],"genre_scores_gemma":[0.9967526,0.0001944073,0.001328556,0.00009136845,0.00002454088,0.00002274204,0.001334398,0.00001907436,0.0002322843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01344114,"threshold_uncertainty_score":0.07108432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05543090772378969,"score_gpt":0.27890084225334,"score_spread":0.2234699345295503,"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."}}