{"id":"W4283792668","doi":"10.5539/jfr.v11n3p11","title":"Formulation and Nutritional Analysis of Processed Sorghum, Soybeans, and Mango Complementary Foods","year":2022,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food science; Sorghum; Fermentation; Nutrient density; Nutrient; Germination; Vitamin; Taste; Fortification; Mathematics; Chemistry; Biology; Agronomy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001409734,0.00006153417,0.0002010391,0.0001772086,0.0004553097,0.00004661433,0.0001883583,0.00002783086,0.000554764],"category_scores_gemma":[0.00003189879,0.00002298625,0.00007574643,0.001333905,0.00006403197,0.0001651762,0.0002124244,0.0003137369,2.987206e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004001454,"about_ca_system_score_gemma":0.00002811556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004908604,"about_ca_topic_score_gemma":0.0001380148,"domain_scores_codex":[0.9981243,0.0001930075,0.0003029961,0.0001199239,0.001054069,0.0002056865],"domain_scores_gemma":[0.9990794,0.0002914472,0.0001257528,0.00002145833,0.0003842356,0.0000977008],"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":[0.001075852,0.001185237,0.1591994,0.0002153882,0.002476834,0.00004015626,0.001540005,0.00006706841,0.7316383,0.006346062,0.01838294,0.07783275],"study_design_scores_gemma":[0.0005251681,0.003207591,0.9736844,0.00002181313,0.00009140237,0.00004979609,0.003916939,0.0001452142,0.005296233,0.004189,0.008759682,0.0001127689],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933284,0.0008709859,0.000002924033,0.005424217,0.00001326855,0.0001453756,0.00005568889,0.000002368363,0.0001567796],"genre_scores_gemma":[0.9993775,0.0002447009,0.0001017951,0.00002937185,0.00007686743,0.000007613933,0.00007473765,4.866837e-7,0.00008695625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.814485,"threshold_uncertainty_score":0.6074277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07158663140432527,"score_gpt":0.3242455570454462,"score_spread":0.2526589256411209,"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."}}