{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005196348,0.0001923352,0.0004921424,0.00007306738,0.0000619862,0.00002219041,0.00008768239,0.00002066118,0.00003518338],"category_scores_gemma":[0.0004681081,0.0001528685,0.0000307235,0.0002653572,0.0001091695,0.0002607375,0.0001115414,0.0001983914,0.000003492447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001850967,"about_ca_system_score_gemma":0.0001203763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000120585,"about_ca_topic_score_gemma":0.0001896566,"domain_scores_codex":[0.9987406,0.00002797242,0.000403461,0.0003239893,0.0003025193,0.0002014773],"domain_scores_gemma":[0.9990299,0.00005865854,0.0002146171,0.0003120607,0.0002258232,0.000158937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003747581,0.00163641,0.75901,0.01158198,0.0009516352,0.0009446474,0.02066098,0.0001960828,0.02677272,0.0007053421,0.09792541,0.07924008],"study_design_scores_gemma":[0.005674297,0.0006825694,0.7305338,0.003115012,0.0004042094,0.0006940354,0.003983572,0.007014097,0.0323728,0.000009278441,0.214831,0.0006853827],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681826,0.002756253,0.00004011748,0.02794719,0.00005870552,0.0004781521,0.0001945683,0.00009192176,0.0002504623],"genre_scores_gemma":[0.9877864,0.0009054765,0.007510384,0.002753576,0.0002406427,0.000007097984,0.0007246506,0.00002675948,0.00004508543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1169056,"threshold_uncertainty_score":0.6233798,"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."}}