{"id":"W4378070384","doi":"10.1016/j.foodchem.2023.136459","title":"Nutrition, allergenicity and physicochemical qualities of food-grade protein extracts from Nannochloropsis oculata","year":2023,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Algal biology and biofuel production","field":"Energy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canada Excellence Research Chairs, Government of Canada; Commonwealth Scientific and Industrial Research Organisation","keywords":"Extraction (chemistry); Food science; Chemistry; Protein purification; Allergen; Sonication; Food products; Biology; Chromatography; Allergy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001400149,0.0003326785,0.0002430759,0.00024717,0.0002152985,0.0003225906,0.0001346445,0.0002381583,0.0004522529],"category_scores_gemma":[0.0001582505,0.00008770926,0.0002487079,0.0002177407,0.0001234711,0.0002196947,0.0002569775,0.0003527736,0.0001333007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002302304,"about_ca_system_score_gemma":0.0001898584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001658067,"about_ca_topic_score_gemma":0.004499007,"domain_scores_codex":[0.999862,0.00001348404,0.00001127135,0.00002768531,0.00006574774,0.00001971193],"domain_scores_gemma":[0.9999228,0.00001470697,0.00002313057,0.000004491516,0.00002359695,0.00001130221],"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":[0.00002306067,0.00000830222,0.0006880132,0.00004677606,0.00000317156,0.00002238519,0.00001005962,0.00001956186,0.9984824,0.000004671812,0.000008569667,0.000682895],"study_design_scores_gemma":[0.000004515439,0.000339237,0.1272312,0.00002483605,0.00004969004,0.0003221808,0.0001892454,0.0005317292,0.8676096,0.00006453387,0.003620775,0.00001251166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965598,0.0008715302,0.0009502,0.00007657702,0.00001084871,0.00002053048,0.0005989934,0.00001606961,0.0008955383],"genre_scores_gemma":[0.9911128,0.001043732,0.002990316,0.0001568426,0.000006159727,0.00004153213,0.002138985,0.00002002848,0.002489679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001658067,"threshold_uncertainty_score":0.003296852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491669078413542,"score_gpt":0.2390115496186347,"score_spread":0.2140948588344992,"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."}}