{"id":"W4401433137","doi":"10.5376/mpr.2024.14.0003","title":"Genomic Analysis of Yam: Understanding Its Adaptive Evolution and Medicinal Properties","year":2024,"lang":"en","type":"article","venue":"Medicinal Plant Research","topic":"Phytochemical and Pharmacological Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Henan Academy of Agricultural Sciences","keywords":"Evolutionary biology; Biology; Computational biology; Adaptive evolution; Biotechnology; Genetics; Gene","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":[0.001219752,0.0001230911,0.0004633033,0.0005900023,0.0001355204,0.00001287721,0.00008261617,0.00007713659,0.0004198089],"category_scores_gemma":[0.0003212056,0.00007138662,0.00008049943,0.00118749,0.0005987827,0.00004678813,0.0001166574,0.0006048215,0.00001818049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003696632,"about_ca_system_score_gemma":0.0001627599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001658138,"about_ca_topic_score_gemma":0.00002296757,"domain_scores_codex":[0.9980515,0.0001129692,0.0002626553,0.0003183218,0.0008842924,0.0003702363],"domain_scores_gemma":[0.9989558,0.0005376192,0.0000250071,0.00008176223,0.0001383217,0.0002614178],"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":[0.005537995,0.0003353203,0.0154818,0.002580896,0.006760578,0.001080944,0.003912509,0.00002299569,0.9272527,0.01632799,0.01414237,0.006563883],"study_design_scores_gemma":[0.008540206,0.0191096,0.3684457,0.01330322,0.02204198,0.001172508,0.0421863,0.3662811,0.1052238,0.02348388,0.02856488,0.001646768],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9343147,0.05097177,0.0006859669,0.004153158,0.00009495389,0.0005361855,0.0000676284,0.00005970794,0.009115895],"genre_scores_gemma":[0.9980134,0.001136844,0.00002091075,0.00005633214,0.0002186645,0.00002392315,0.00002112699,0.000006839316,0.0005019812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8220289,"threshold_uncertainty_score":0.4596613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4055636422006152,"score_gpt":0.4204925795811076,"score_spread":0.01492893738049245,"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."}}