{"id":"W4391099106","doi":"10.1089/derm.2023.0144","title":"Comparison of Ingredients and Allergens in Brand and Store Name Moisturizers","year":2024,"lang":"en","type":"letter","venue":"Dermatitis","topic":"Contact Dermatitis and Allergies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Dermatology; Traditional medicine","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":[0.001837123,0.000157267,0.0003962085,0.0006354983,0.0006767426,0.0008338817,0.0004198518,0.003326658,0.00399315],"category_scores_gemma":[0.006921,0.0001134967,0.0005646427,0.0005531262,0.0003022077,0.0006208539,0.0002266102,0.001132749,0.0005510884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109945,"about_ca_system_score_gemma":0.0004126555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003535985,"about_ca_topic_score_gemma":0.01334011,"domain_scores_codex":[0.9987193,0.0005135818,0.000164665,0.00005724058,0.0004537806,0.00009147054],"domain_scores_gemma":[0.996067,0.002922884,0.0001548224,0.00006142117,0.0006392424,0.000154625],"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":[0.05892965,0.00325565,0.1978725,0.002757335,0.0004050953,0.05984057,0.003574082,0.0005406416,0.02692127,0.006686151,0.2855482,0.3536687],"study_design_scores_gemma":[0.001641131,0.01153914,0.4250265,0.0008976166,0.0008441012,0.0241221,0.007564419,0.001126684,0.00891427,0.002619679,0.515615,0.00008934432],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5667066,0.06119663,0.001141819,0.2120426,0.01483475,0.0003905715,0.001405048,0.00007260435,0.1422094],"genre_scores_gemma":[0.855148,0.009586581,0.001058009,0.09347881,0.009720514,0.0001016741,0.000420336,0.00005600569,0.03043004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00399315,"threshold_uncertainty_score":0.01335841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01981884216265289,"score_gpt":0.2859903513291528,"score_spread":0.2661715091664999,"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."}}