{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000745767,0.0004116199,0.0002045999,0.000370695,0.0001451339,0.0003168629,0.0001111671,0.0002009737,0.0005514874],"category_scores_gemma":[0.00009849655,0.0001974868,0.0001985962,0.0002328686,0.0001439327,0.0002149992,0.0002248571,0.0003916826,0.0001841754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009176845,"about_ca_system_score_gemma":0.0001226752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006275115,"about_ca_topic_score_gemma":0.001344124,"domain_scores_codex":[0.9999415,0.000006448337,0.000004595805,0.0000242049,0.00001021385,0.00001299686],"domain_scores_gemma":[0.9999033,0.000013438,0.00002555212,0.000009654305,0.00002148001,0.00002657382],"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":[0.00003985896,0.000003986776,0.0002724058,0.00001863147,0.000003589247,0.00002051572,0.00001523568,0.00001001922,0.999163,0.000005116101,0.000003206368,0.0004444121],"study_design_scores_gemma":[0.00001546369,0.0005652138,0.1430909,0.00002662715,0.00009056247,0.0004267138,0.0003656093,0.001139172,0.8525321,0.0001150484,0.001615335,0.00001738564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957209,0.0006432183,0.002215639,0.0000218716,0.000006144888,0.00001915976,0.0006376761,0.00003396856,0.0007014094],"genre_scores_gemma":[0.9912494,0.0006368062,0.003872234,0.00008727462,0.000007135381,0.0000496262,0.001991914,0.00004193956,0.002063689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006275115,"threshold_uncertainty_score":0.001844943,"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."}}