{"id":"W7133256288","doi":"10.2310/derm.1.2005.2052","title":"Use of Consumer Product Ingredients for Patch Testing","year":2005,"lang":"en","type":"article","venue":"Dermatitis","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Patch testing; Product testing; Consumer safety; New product development","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":[0.0001242804,0.00005631787,0.0001308708,0.000006132826,0.00007526475,0.00002445917,0.00005860611,0.00002203802,0.0001499735],"category_scores_gemma":[0.001154749,0.00002185877,0.00004631302,0.0001535652,0.00003554629,0.00009090969,0.00001372,0.00002909393,0.000007447825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004560784,"about_ca_system_score_gemma":0.00000192731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00017271,"about_ca_topic_score_gemma":0.0001831135,"domain_scores_codex":[0.9994097,0.0000574501,0.0002000802,0.0001227457,0.0000866981,0.0001233607],"domain_scores_gemma":[0.9987143,0.001016368,0.00007474387,0.00003306554,0.000121686,0.00003978045],"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":[0.000002421756,0.00005076195,0.0456766,0.0000139733,0.00001702056,8.357686e-7,0.00005417935,0.00001606357,0.0262304,0.0001870467,0.006866317,0.9208844],"study_design_scores_gemma":[0.0001495343,0.0001346324,0.6744077,0.00004673636,0.00006054758,0.0000102811,0.00007496806,0.008768247,0.0405903,0.000949198,0.2745697,0.000238125],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977872,0.00006792232,0.000509613,0.0009675401,0.00004695933,0.0001417384,0.0001589937,0.0000208397,0.0002991297],"genre_scores_gemma":[0.924434,0.000009428816,0.07479317,0.0005167958,0.0001078698,0.000009493841,0.000025784,4.432426e-7,0.0001030138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9206463,"threshold_uncertainty_score":0.1642105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1483234800988374,"score_gpt":0.3046312416351591,"score_spread":0.1563077615363217,"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."}}