{"id":"W4401758497","doi":"10.1016/j.lwt.2024.116667","title":"Prediction of pea composites physicochemical traits and techno-functionalities using FTIR spectroscopy","year":2024,"lang":"en","type":"article","venue":"LWT","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Plant Biotechnology Institute; McGill University","funders":"National Research Council Canada","keywords":"Fourier transform infrared spectroscopy; Composite material; Materials science; Spectroscopy; Chemical engineering; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00004040673,0.00006329845,0.00009250954,0.000008711969,0.00005221346,0.00003656926,0.00005570106,0.00004945825,0.00003641658],"category_scores_gemma":[0.00000646868,0.00002548719,0.00003536321,0.0001301006,0.00006792378,0.00007708255,0.00002756571,0.00006345766,0.000003466437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001785259,"about_ca_system_score_gemma":0.000001492993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007934604,"about_ca_topic_score_gemma":0.000006362331,"domain_scores_codex":[0.9995143,0.00001494389,0.0001123613,0.0001455609,0.0001246127,0.00008816445],"domain_scores_gemma":[0.9998693,0.00005147045,0.00002292652,0.00001657737,0.00001863659,0.00002108173],"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":[0.000005051204,0.0000136649,0.0003847337,0.00003329988,0.00001068412,4.979124e-7,0.00004145983,0.000001112659,0.9965646,0.001348903,0.0001405244,0.001455478],"study_design_scores_gemma":[0.00003647597,0.0001535757,0.008364873,0.0001323274,0.00001327375,0.00002429012,0.000155017,0.001144469,0.9852547,0.002390946,0.002259679,0.0000703661],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979689,0.0008433376,0.00003311767,0.0001961778,0.00009696453,0.00009840762,0.00008514291,0.0001033157,0.0005746901],"genre_scores_gemma":[0.9992424,0.000007853119,0.0002955733,0.00001007784,0.0003590171,0.000006111238,0.00001416963,6.43246e-7,0.00006411602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01130988,"threshold_uncertainty_score":0.1039337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0397272757670926,"score_gpt":0.2328206304659168,"score_spread":0.1930933546988242,"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."}}