{"id":"W3119456982","doi":"10.1007/s00217-020-03648-z","title":"The impact of different adsorbents on flavour characteristics of a lentil protein isolate","year":2021,"lang":"en","type":"article","venue":"European Food Research and Technology","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Norleaf Networks (Canada); University of Saskatchewan","funders":"Saskatchewan Pulse Growers","keywords":"Amberlite; Chemistry; Flavour; Hexanal; Chromatography; Adsorption; Solid-phase microextraction; Gas chromatography–mass spectrometry; Extraction (chemistry); Mass spectrometry; Gas chromatography; Food science; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003842421,0.0005239369,0.0003523571,0.0003379202,0.0004166333,0.0006651433,0.0003175012,0.0004658326,0.001028959],"category_scores_gemma":[0.0008384798,0.0001843084,0.0004326727,0.0003217063,0.0003859423,0.000309394,0.0003825294,0.0004526374,0.0002481097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002538396,"about_ca_system_score_gemma":0.0002837765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003081777,"about_ca_topic_score_gemma":0.002659847,"domain_scores_codex":[0.9994678,0.00009787612,0.0000305583,0.00007808144,0.0001526377,0.0001730924],"domain_scores_gemma":[0.9994941,0.0001901331,0.00005351436,0.00003747713,0.0001465472,0.00007830138],"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":[0.0004672564,0.00009640243,0.000376049,0.00004410377,0.00002245299,0.00002708896,0.00003775548,0.00008463333,0.9976793,0.00001643575,0.00002659921,0.001121882],"study_design_scores_gemma":[0.000009641755,0.0004578135,0.006167203,0.000005485969,0.0000368159,0.00002636818,0.00005167068,0.0004342243,0.9924817,0.000009551189,0.0003103738,0.000009307949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987299,0.0002440001,0.0004113351,0.00003743994,0.00002513426,0.00001241406,0.00008676766,0.00001193379,0.0004411381],"genre_scores_gemma":[0.9973844,0.0002047845,0.000719747,0.00005489127,0.00001521238,0.00001021309,0.0002698624,0.00002190436,0.001319086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003081777,"threshold_uncertainty_score":0.006127656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07853339206570979,"score_gpt":0.3163038491261452,"score_spread":0.2377704570604354,"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."}}