{"id":"W4406484410","doi":"10.1021/acs.jafc.4c08623","title":"Comprehensive Characterization of Raw and Processed Quinoa from Conventional and Organic Farming by Label-Free Shotgun Proteomics","year":2025,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Seed and Plant Biochemistry","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"IONICS Mass Spectrometry (Canada); University of Ottawa","funders":"European Regional Development Fund; Ministerio de Ciencia, Innovación y Universidades","keywords":"Shotgun; Shotgun proteomics; Organic farming; Characterization (materials science); Agriculture; Proteomics; Chemistry; Biology; Nanotechnology; Materials science; 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":[0.00004099522,0.0001196045,0.0002105175,0.000003968078,0.00007918321,0.00005558466,0.0001095276,0.0001174055,0.00002902538],"category_scores_gemma":[0.00002526827,0.00004690767,0.0000318564,0.0001001763,0.00006352167,0.0001132127,0.00006298419,0.0001297805,5.937374e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007762314,"about_ca_system_score_gemma":0.00000994882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006081679,"about_ca_topic_score_gemma":0.000002117817,"domain_scores_codex":[0.9993821,0.00001072804,0.0002635963,0.0001361879,0.0001153018,0.00009206677],"domain_scores_gemma":[0.9994059,0.00006946023,0.0002655332,0.00002134427,0.0001695627,0.00006820945],"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":[0.00004165527,0.00003979723,0.002301804,0.0001207902,0.00004705971,5.063692e-7,0.00003513162,3.719768e-8,0.996444,0.00000298126,0.0001581062,0.0008081238],"study_design_scores_gemma":[0.000487285,0.00008917161,0.1290188,0.0001534882,0.00003864352,0.00006034799,0.0005824339,0.000002469187,0.869094,0.0001010302,0.0002749311,0.00009745296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975808,0.001233695,0.000002460831,0.0008095491,0.00002866422,0.00006229269,0.0002333436,0.000005707582,0.00004343938],"genre_scores_gemma":[0.9989635,0.0003797697,0.00005174472,0.00005361818,0.0001271567,0.000001258846,0.0002978602,4.992766e-7,0.0001245934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1273501,"threshold_uncertainty_score":0.1912839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007367533224151216,"score_gpt":0.1763929917952637,"score_spread":0.1690254585711125,"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."}}