{"id":"W7117420414","doi":"10.1021/acs.jafc.5c07341","title":"Synergistic Anti-Inflammatory Effects of Phenolics from Purple Potato and Lycopene Using Mono- and Coculture Cell Models","year":2025,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Key Research and Development Program of Jiangxi Province; State Key Laboratory of Food Science and Technology","keywords":"Lycopene; Carotenoid; Antioxidant; Cell; MAPK/ERK pathway; Secretion; Cell growth","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":[0.0002944275,0.0004546025,0.000715998,0.0003158971,0.0002080128,0.0004059627,0.0002135774,0.0003718977,0.001000351],"category_scores_gemma":[0.0001120897,0.0001594484,0.0005135623,0.0002739929,0.0001893457,0.0002776575,0.0003575781,0.0008332589,0.0002615078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001371919,"about_ca_system_score_gemma":0.0002304979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004053083,"about_ca_topic_score_gemma":0.001045494,"domain_scores_codex":[0.9997107,0.00007122431,0.00002673791,0.00007256954,0.00007179799,0.00004700587],"domain_scores_gemma":[0.999879,0.00002429388,0.00002606263,0.00002103425,0.00001997289,0.00002951242],"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":[0.000401888,0.0001773253,0.0003201097,0.0002111005,0.0000247521,0.0001655677,0.00003408563,0.00009442333,0.9965478,0.00004031319,0.00006027466,0.001922422],"study_design_scores_gemma":[0.0000698959,0.004664146,0.006306778,0.00002276716,0.0001455802,0.0005464609,0.0001933028,0.001422275,0.9824536,0.00006164593,0.004098884,0.00001473168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868663,0.005525764,0.005166412,0.0001562051,0.0001383033,0.00009774182,0.0003039048,0.00004918106,0.001696175],"genre_scores_gemma":[0.9884603,0.003242212,0.004663726,0.0001213736,0.0000405674,0.0001589559,0.0003639849,0.00001121733,0.002937675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001000351,"threshold_uncertainty_score":0.003346503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005736137072889138,"score_gpt":0.2001436248069463,"score_spread":0.1944074877340571,"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."}}