{"id":"W3029612785","doi":"10.1186/s43014-020-0020-5","title":"Plant food anti-nutritional factors and their reduction strategies: an overview","year":2020,"lang":"en","type":"article","venue":"Food Production Processing and Nutrition","topic":"Phytase and its Applications","field":"Agricultural and Biological Sciences","cited_by":1159,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Antinutrient; Nutrient; Phytic acid; Micronutrient; Bioavailability; Food science; Biotechnology; Biology; Chemistry","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":[0.00007279262,0.0001361723,0.0001346913,0.0000153864,0.0004566025,0.0001684021,0.00005112226,0.00006917032,0.00001424542],"category_scores_gemma":[0.00001144917,0.00006234207,0.00002553666,0.0002808353,0.00006328265,0.0007826052,0.00001566709,0.0001015395,9.73529e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007796897,"about_ca_system_score_gemma":0.00001072103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008230345,"about_ca_topic_score_gemma":0.00001655147,"domain_scores_codex":[0.9991714,0.00003979044,0.0001576163,0.0004060925,0.00009523912,0.0001298158],"domain_scores_gemma":[0.9996851,0.00001195914,0.00008133963,0.00003278045,0.00007696549,0.0001118464],"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":[0.0001427958,0.0008048026,0.0007036771,0.000665725,0.00003629433,2.626723e-7,0.002161093,0.00000360988,0.9047887,0.002730422,0.001228209,0.08673441],"study_design_scores_gemma":[0.00198437,0.01600457,0.1082323,0.001217072,0.0001843408,0.0004681811,0.07289059,0.0008495758,0.5479531,0.09671326,0.1512313,0.002271365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877158,0.006066728,0.00001917028,0.005512042,0.00005211823,0.0002600643,0.0002259544,0.0001257465,0.00002241415],"genre_scores_gemma":[0.9965169,0.001734284,0.00007674154,0.00008936531,0.0008164406,0.0000442657,0.0007182941,0.000001661994,0.000002018091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3568356,"threshold_uncertainty_score":0.3511863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0855558755143704,"score_gpt":0.2560490418547567,"score_spread":0.1704931663403863,"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."}}