{"id":"W3034210969","doi":"10.1002/leg3.44","title":"Legume lipoxygenase: Strategies for application in food industry","year":2020,"lang":"en","type":"article","venue":"Legume Science","topic":"Plant Parasitism and Resistance","field":"Agricultural and Biological Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lipoxygenase; Ingredient; Legume; Polyunsaturated fatty acid; Food industry; Food science; Functional food; Biochemistry; Nutraceutical; Chemistry; Fatty acid; Biotechnology; Biology; Enzyme; Botany","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":[0.0002086881,0.00008780445,0.0001024091,0.0000117783,0.0001940169,0.0001333735,0.0004838166,0.00009428252,0.00001975792],"category_scores_gemma":[0.00003828256,0.00003714527,0.00002874636,0.000861478,0.0001796763,0.0004490535,0.00004350474,0.0001402381,0.00002208281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001844457,"about_ca_system_score_gemma":0.00005084963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005781956,"about_ca_topic_score_gemma":0.0005618403,"domain_scores_codex":[0.9989461,0.00001360712,0.0001417058,0.0003779817,0.0002126763,0.0003079859],"domain_scores_gemma":[0.999676,0.00006073635,0.00005315166,0.00004447615,0.00003606522,0.0001295534],"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":[0.00002066831,0.00002850496,0.002909371,0.00001116569,0.000001153254,0.000002112255,0.0001228566,0.00005591054,0.9780591,0.008996562,0.0004869746,0.009305646],"study_design_scores_gemma":[0.0006912499,0.001121735,0.7439127,0.00007539271,0.000008403696,0.00001721839,0.00321787,0.006015654,0.08781441,0.007372209,0.1487836,0.0009695],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992687,0.0001050803,0.0001824143,0.004697829,0.00005792012,0.0002711038,0.00008866769,0.00005070107,0.001859291],"genre_scores_gemma":[0.9989541,0.000005251232,0.0001785971,0.0005737997,0.0001581231,0.00004154164,0.00001547734,4.715837e-7,0.00007266929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8902447,"threshold_uncertainty_score":0.151474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02501206183049674,"score_gpt":0.2412239698650514,"score_spread":0.2162119080345547,"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."}}