{"id":"W3088095050","doi":"10.1155/2020/9595086","title":"Nutritional Composition and Health Benefits of Teff (<i>Eragrostis tef</i> (Zucc.) Trotter)","year":2020,"lang":"en","type":"article","venue":"Journal of Food Quality","topic":"Food composition and properties","field":"Nursing","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eragrostis; Sorghum; Crop; Poaceae; Agronomy; Glycemic index; Gluten free; Staple food; Biology; Food science; Gluten; Agriculture; Biotechnology; Glycemic; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001351346,0.0002826184,0.0002155475,0.0005163545,0.0002399924,0.0002696737,0.00008851301,0.0002345812,0.002348183],"category_scores_gemma":[0.0001316555,0.00008415061,0.0001786881,0.0002669371,0.0001059262,0.0001967148,0.0001916757,0.0003497897,0.0002741931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001452206,"about_ca_system_score_gemma":0.0001148732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002043394,"about_ca_topic_score_gemma":0.00267959,"domain_scores_codex":[0.9999619,0.000008439136,0.000001929693,0.000008305146,0.000008330737,0.00001118319],"domain_scores_gemma":[0.9999644,0.000004172995,0.00001352194,0.000001464666,0.00000574611,0.00001080408],"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":[0.0173916,0.00359917,0.03885744,0.002158697,0.0005546967,0.0008321379,0.0005500154,0.000287273,0.7096646,0.001470585,0.003379483,0.2212542],"study_design_scores_gemma":[0.0003876656,0.01884264,0.8824289,0.0005857939,0.0008543581,0.001783924,0.000867854,0.0008443546,0.05246596,0.001250256,0.03959038,0.00009789287],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843771,0.01214978,0.0002842492,0.0002624189,0.00005910727,0.00002205572,0.0006525717,0.00002101684,0.002171572],"genre_scores_gemma":[0.990119,0.005067185,0.0009399918,0.0003307605,0.00002648236,0.00001801518,0.0006757264,0.00001174107,0.002811206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002348183,"threshold_uncertainty_score":0.007855475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09866874632938354,"score_gpt":0.3275858472845202,"score_spread":0.2289171009551367,"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."}}