{"id":"W3006099081","doi":"10.1016/j.yrtph.2020.104611","title":"The SCCS guidance on the safety assessment of nanomaterials in cosmetics","year":2020,"lang":"en","type":"article","venue":"Regulatory Toxicology and Pharmacology","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Cosmetics; Risk analysis (engineering); Consumer safety; Risk assessment; Key (lock); Computer science; Business; Medicine; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005547351,0.0001242727,0.0002430502,0.0000161621,0.0001177947,0.000004842084,0.0002511672,0.0001290828,0.000310788],"category_scores_gemma":[0.0000704412,0.00007485163,0.0000431421,0.0001177417,0.0003053529,0.00001819913,0.0001558563,0.0002509125,0.000005290605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005123482,"about_ca_system_score_gemma":0.00002744988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.338202e-7,"about_ca_topic_score_gemma":0.000001255352,"domain_scores_codex":[0.9988795,0.0002258292,0.0003667526,0.0001978589,0.00009326493,0.0002367867],"domain_scores_gemma":[0.9986884,0.0009907682,0.0001062483,0.0001314899,0.00001758764,0.00006550737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003061122,0.00008589502,0.0004426934,0.000082672,0.0001017051,0.000009813592,0.0002271633,0.002908664,0.8914164,0.1000491,0.003190616,0.001179166],"study_design_scores_gemma":[0.002338388,0.0003638275,0.01752053,0.00003468321,0.00009935218,0.000006216556,0.0001643867,0.03476228,0.7998686,0.001249214,0.143286,0.0003064701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820244,0.0004830577,0.0002003707,0.01456332,0.0004421195,0.0003642841,0.00001002298,0.00003214675,0.001880221],"genre_scores_gemma":[0.9964584,0.0005154225,0.00007620503,0.00269571,0.0001235865,0.00003568139,0.000001977892,0.000009630609,0.0000833728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1400954,"threshold_uncertainty_score":0.3402911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01998890910398852,"score_gpt":0.2934190892146751,"score_spread":0.2734301801106866,"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."}}