{"id":"W2150910911","doi":"10.1002/jsfa.6272","title":"Headspace volatile components of Canadian grown low‐tannin faba bean (<i>Vicia faba</i> L.) genotypes","year":2013,"lang":"en","type":"article","venue":"Journal of the Science of Food and Agriculture","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Université de La Réunion","keywords":"Vicia faba; Chemistry; Solid-phase microextraction; Tannin; Coffee bean; Palatability; Flavor; Growing season; Gas chromatography–mass spectrometry; Mass spectrometry; Chromatography; Food science; Horticulture; Botany; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000169977,0.0001073026,0.0002029432,0.00003022111,0.0003113555,0.00003492613,0.0004397694,0.00004539806,0.00004585676],"category_scores_gemma":[0.0000251497,0.00002934126,0.00009932039,0.0005306716,0.0004107782,0.0001695858,0.0001079454,0.0001122216,0.00000220588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002364431,"about_ca_system_score_gemma":0.00001648904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005991503,"about_ca_topic_score_gemma":0.005197774,"domain_scores_codex":[0.9990153,0.00002480506,0.0002475742,0.0001169316,0.0003736714,0.0002216977],"domain_scores_gemma":[0.9993489,0.00002397238,0.0002863033,0.00004256116,0.0001278256,0.0001703732],"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":[0.000003184135,0.00003397173,0.006299787,0.000005418376,0.00001277523,2.822792e-7,0.0002329679,0.00002419732,0.9899243,0.00002522088,0.002223272,0.001214607],"study_design_scores_gemma":[0.00008632595,0.0003784712,0.8965454,0.00006556562,0.00001658257,0.00002508551,0.001689529,0.000007648589,0.1001322,0.0002668302,0.0006987905,0.00008766607],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949821,0.0007897376,1.491033e-7,0.00343364,0.0001321734,0.0001089319,0.00002269581,0.000001589577,0.0005289486],"genre_scores_gemma":[0.9994541,0.0001311873,0.00009646362,0.0000750886,0.00007224302,7.31667e-7,7.820078e-7,4.6144e-7,0.0001689744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8902456,"threshold_uncertainty_score":0.90574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00966097374914686,"score_gpt":0.1633254282572802,"score_spread":0.1536644545081334,"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."}}