{"id":"W2972324469","doi":"10.5539/jfr.v8n5p71","title":"Processing of Amaranthus hypochondriacus Biomass for Functional Protein Concentrates Development","year":2019,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad Autónoma de Yucatán; Consejo Nacional de Ciencia y Tecnología","keywords":"Amaranth; Chemistry; Biomass (ecology); Food science; Isoelectric point; Solubility; Amaranthus hypochondriacus; Extraction (chemistry); Food processing; Protein purification; Chromatography; Agronomy; Biochemistry; Organic chemistry; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001409809,0.0004747212,0.0002294979,0.000369039,0.0001625271,0.0002407163,0.0001390765,0.0001611788,0.0005135931],"category_scores_gemma":[0.0001088866,0.00009426969,0.0003253198,0.0003057594,0.00007875815,0.0002526221,0.0002126952,0.000292366,0.0002281035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001720642,"about_ca_system_score_gemma":0.0001476435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005657977,"about_ca_topic_score_gemma":0.001306855,"domain_scores_codex":[0.9999114,0.00001124722,0.000007359391,0.00002160382,0.00003418751,0.00001413982],"domain_scores_gemma":[0.9999462,0.000005971972,0.00001713457,0.000005293539,0.00001644077,0.000008850109],"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":[0.00001526357,0.000007256412,0.00007517287,0.00004656786,0.000003608711,0.00003088978,0.000005970425,0.00004100133,0.9984181,0.00001544547,0.000009520281,0.001331226],"study_design_scores_gemma":[0.000003591971,0.000197978,0.004944678,0.00001722997,0.0000231568,0.0001592958,0.00002939721,0.0004499785,0.9919707,0.00004879156,0.002148749,0.000006473396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842079,0.002743093,0.01041759,0.00008159073,0.00003109187,0.0000727273,0.0005785624,0.00007607174,0.001791347],"genre_scores_gemma":[0.9748112,0.002535065,0.01841048,0.00005324917,0.0000143635,0.0000820093,0.001280521,0.00007152904,0.002741497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005657977,"threshold_uncertainty_score":0.001718104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1331514955789503,"score_gpt":0.3181170969595186,"score_spread":0.1849656013805683,"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."}}