{"id":"W1830055898","doi":"10.5539/jfr.v4n4p92","title":"Chemical and Mineral Composition of Amaranth (Amaranthus L.) Species Collected From Central Malawi","year":2015,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Seed and Plant Biochemistry","field":"Agricultural and Biological Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Global Environment Facility","keywords":"Amaranth; Potassium; Chemical composition; Zinc; Magnesium; Altitude (triangle); Chemistry; Animal science; Phosphorus; Composition (language); Dry weight; Horticulture; Botany; Mineralogy; Agronomy; Biology; Food science; Mathematics","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":[0.00009046895,0.0002377246,0.0002050167,0.001321733,0.0005786653,0.0003440313,0.0001281402,0.0001564722,0.0008512955],"category_scores_gemma":[0.0001516974,0.0001612765,0.0001187616,0.001180276,0.0002676249,0.000145073,0.0001936567,0.0001441657,0.0002244926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003256261,"about_ca_system_score_gemma":0.0001375889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01525406,"about_ca_topic_score_gemma":0.0547671,"domain_scores_codex":[0.9999135,0.00001000502,0.00001073938,0.00002442442,0.00002848831,0.00001285658],"domain_scores_gemma":[0.9998375,0.00001692696,0.00006321623,0.00000627611,0.00005357749,0.00002247621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004487454,0.0001264864,0.6165324,0.0002793246,0.000121887,0.001144213,0.00390283,0.0001245038,0.3624144,0.0001125744,0.0002939371,0.01449875],"study_design_scores_gemma":[0.000001600534,0.00006949979,0.9970401,0.00000685784,0.00001396485,0.000250854,0.0004901066,0.00002711338,0.001441095,0.000006234769,0.0006495183,0.000002923727],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986009,0.0002033494,0.00008095249,0.000008761514,0.000001956827,0.000008205758,0.0006291171,0.000003329272,0.0004633734],"genre_scores_gemma":[0.9960891,0.0003350639,0.0006987306,0.00003708906,0.000004866947,0.00001766248,0.00129479,0.000004332052,0.001518354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01525406,"threshold_uncertainty_score":0.03033054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09475068158203045,"score_gpt":0.2837369654863693,"score_spread":0.1889862839043388,"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."}}