{"id":"W2412152192","doi":"10.1021/acs.jafc.5b03206","title":"Defensive Armor of Potato Tubers: Nonpolar Metabolite Profiling, Antioxidant Assessment, and Solid-State NMR Compositional Analysis of Suberin-Enriched Wound-Healing Tissues","year":2015,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Plant Surface Properties and Treatments","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; Division of Molecular and Cellular Biosciences; National Center for Research Resources; City University of New York","keywords":"Suberin; Metabolite; Metabolite profiling; Chemistry; Antioxidant; Biochemistry; Botany; Biology; Cell wall","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001751488,0.0001680235,0.0005741804,0.00001921775,0.00007098279,0.00004435541,0.0001050225,0.00006645193,0.00001039507],"category_scores_gemma":[0.00001743562,0.00005934861,0.0001720032,0.0002799393,0.00008057483,0.0001746841,0.00005725673,0.000130012,1.620479e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000240581,"about_ca_system_score_gemma":0.00001677866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007957472,"about_ca_topic_score_gemma":0.00001554127,"domain_scores_codex":[0.9988327,0.00003556468,0.0005157838,0.0001607697,0.0002852553,0.0001699089],"domain_scores_gemma":[0.998688,0.00006132451,0.0005751136,0.00003142877,0.0004596086,0.0001844706],"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":[0.00006845616,0.0001422553,0.05611363,0.00004816927,0.001196185,0.000006144504,0.0001824086,0.0001196657,0.9418733,0.00001205486,0.00001691143,0.0002208875],"study_design_scores_gemma":[0.0005622896,0.0005120146,0.7013641,0.00007049588,0.0008398354,0.0001975001,0.002214724,0.00009007714,0.2937989,0.0001066124,0.00005507191,0.0001883889],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950728,0.004245997,0.000002479656,0.0001912261,0.00002626917,0.00007114834,0.0003039903,0.000005679681,0.00008037275],"genre_scores_gemma":[0.9985989,0.0005543109,0.0006334149,0.00001524055,0.0000512748,0.000001254325,0.0001098528,8.963394e-7,0.00003481338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6480743,"threshold_uncertainty_score":0.2420166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234993578580695,"score_gpt":0.2506538254126032,"score_spread":0.2283038896267962,"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."}}