{"id":"W4402546345","doi":"10.1016/j.jafr.2024.101415","title":"Evaluation of anchote (Coccinia abyssinica) genotypes and processing methods for mineral and phytochemical composition","year":2024,"lang":"en","type":"article","venue":"Journal of Agriculture and Food Research","topic":"Plant Genetic and Mutation Studies","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"College of Agriculture and Veterinary Medicine, Jimma University; Horizon 2020 Framework Programme","keywords":"Phytochemical; Composition (language); Traditional medicine; Mineral; Biology; Botany; Medicine; Art; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005241603,0.0007211593,0.0005447372,0.0005764274,0.0003880483,0.0008025751,0.0003494581,0.0003555655,0.001260078],"category_scores_gemma":[0.0004655267,0.0002341666,0.0004116314,0.0004189632,0.000324021,0.0004819699,0.0004287944,0.0007248444,0.0002356179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004243988,"about_ca_system_score_gemma":0.0002993248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001784891,"about_ca_topic_score_gemma":0.003657661,"domain_scores_codex":[0.9995629,0.00007063399,0.00003934336,0.0001749053,0.00009302078,0.00005913093],"domain_scores_gemma":[0.9993772,0.0001624758,0.0001627026,0.00004472483,0.0001182289,0.0001347232],"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":[0.00100133,0.0003334772,0.002081552,0.0001490094,0.00003686958,0.0001009237,0.0001087925,0.00007713746,0.9935365,0.00004936834,0.00002760777,0.002497408],"study_design_scores_gemma":[0.0001365927,0.01303271,0.2162796,0.00011451,0.0006414271,0.0004831137,0.001466352,0.001252914,0.759068,0.0002193934,0.007186562,0.0001187557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975556,0.0004451906,0.001024364,0.00002756471,0.00002204361,0.00006410075,0.0003589958,0.00002008194,0.0004820683],"genre_scores_gemma":[0.9886874,0.0005849859,0.005475693,0.0001037148,0.0000097672,0.0001419332,0.001004436,0.00007208213,0.003920046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001784891,"threshold_uncertainty_score":0.00421536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1719786614209241,"score_gpt":0.4577649437127417,"score_spread":0.2857862822918176,"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."}}