{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001719213,0.0003814148,0.0005002212,0.000202346,0.0003263474,0.0001404498,0.0001314191,0.0002136701,0.004304854],"category_scores_gemma":[0.0002609683,0.0001204572,0.000228552,0.00009666803,0.0001180503,0.0001393359,0.000154916,0.0003123,0.0004930047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009603837,"about_ca_system_score_gemma":0.0001630172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007362643,"about_ca_topic_score_gemma":0.001282475,"domain_scores_codex":[0.9999497,0.00001036412,0.000003724419,0.00001178858,0.00001150517,0.00001290587],"domain_scores_gemma":[0.9999304,0.000009216537,0.00001437289,0.000003615501,0.000007600436,0.0000347788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.1056095,0.04949272,0.2520361,0.001286975,0.0005066819,0.001504731,0.0009861673,0.0003005408,0.3309847,0.0001540472,0.004595106,0.2525426],"study_design_scores_gemma":[0.005029415,0.1160669,0.8562274,0.00006543045,0.0004581667,0.001097197,0.0005735671,0.0005290351,0.01472782,0.00007826147,0.005125464,0.00002137467],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981338,0.0009066429,0.0001046487,0.00007993031,0.00002274527,0.00006701523,0.00007283452,0.00001415304,0.0005981023],"genre_scores_gemma":[0.9960663,0.0007232199,0.0002351559,0.0001252742,0.00003382335,0.0000693451,0.0001344553,0.000003447291,0.002608988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004304854,"threshold_uncertainty_score":0.0144012,"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."}}