{"id":"W2437515848","doi":"10.1111/jocd.12226","title":"Zeaxanthin‐based dietary supplement and topical serum improve hydration and reduce wrinkle count in female subjects","year":2016,"lang":"en","type":"article","venue":"Journal of Cosmetic Dermatology","topic":"Skin Protection and Aging","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nutreco (Canada)","funders":"","keywords":"Wrinkle; Zeaxanthin; Medicine; Skin Aging; Antioxidant; Placebo; Oxidative stress; Dermatology; Adverse effect; Lipid peroxide; Carotenoid; Lipid peroxidation; Lutein; Pharmacology; Food science; Internal medicine; Chemistry; Pathology; Biochemistry","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":[0.0002363184,0.00008027519,0.0002723289,0.0001674488,0.00002956707,0.000008265768,0.00003089416,0.00007158879,0.00008056944],"category_scores_gemma":[0.0001438298,0.00005203559,0.00003172621,0.00005750696,0.00007731121,0.0000815489,0.00002057939,0.0001674249,0.000001859582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004254252,"about_ca_system_score_gemma":0.00008217423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000696267,"about_ca_topic_score_gemma":0.00001574164,"domain_scores_codex":[0.9991583,0.00008855803,0.0003632922,0.0001070851,0.0001354155,0.0001473447],"domain_scores_gemma":[0.9994704,0.0001410716,0.0001473887,0.00007570136,0.00006777902,0.0000977348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001378755,0.0003995301,0.6717716,0.0003993016,0.0001251057,0.001988583,0.0009422299,0.000002648918,0.2226114,0.0005381924,0.001956603,0.09788606],"study_design_scores_gemma":[0.01459448,0.001433133,0.7748149,0.0006958499,0.0001596071,0.01706299,0.0006103207,0.001300409,0.1798674,0.002138288,0.007070886,0.0002516801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649891,0.0002984614,0.001619758,0.03259185,0.000243831,0.0001565037,0.000001346388,0.000005917269,0.00009328123],"genre_scores_gemma":[0.9978378,0.0001027431,0.001113076,0.0008173613,0.00006602507,0.000003971918,4.906062e-7,0.000006089097,0.00005237922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1030433,"threshold_uncertainty_score":0.212195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841645145952213,"score_gpt":0.2903888141997295,"score_spread":0.2719723627402073,"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."}}