{"id":"W4402899400","doi":"10.5376/be.2024.14.0008","title":"Exploring the Genome of <i>Rehmannia glutinosa</i>: Understanding Its Genetic Code and Medicinal Potential","year":2024,"lang":"en","type":"article","venue":"Biological Evidence","topic":"Phytochemistry and Bioactive Compounds","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rehmannia glutinosa; Biology; Genome; Genetics; Computational biology; Traditional medicine; Gene; Medicine","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":[0.0002673031,0.0005115482,0.0004122441,0.0007287328,0.0005011702,0.0007728802,0.0003211939,0.0006045993,0.001576126],"category_scores_gemma":[0.0003120039,0.0001579737,0.0005792406,0.001381484,0.0003733377,0.0009286123,0.000559601,0.0008465133,0.0006539645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006443083,"about_ca_system_score_gemma":0.0006845522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003571135,"about_ca_topic_score_gemma":0.00324524,"domain_scores_codex":[0.9998852,0.00001552835,0.000008868747,0.00004954602,0.00002094394,0.00001989805],"domain_scores_gemma":[0.9998295,0.00003473986,0.00005490726,0.00002317398,0.00002823272,0.00002932344],"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":[0.0004716579,0.00004642093,0.00470534,0.0006564872,0.00005118989,0.0006452368,0.000766326,0.001243049,0.929142,0.002018926,0.0006695026,0.05958388],"study_design_scores_gemma":[0.0001568173,0.00111252,0.2471627,0.000741611,0.0008811092,0.004700474,0.005070525,0.01298246,0.4067755,0.01346992,0.3066671,0.0002791878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.92834,0.01209147,0.03249047,0.002127948,0.0001281022,0.0001869883,0.01302606,0.0007095974,0.01089939],"genre_scores_gemma":[0.8901809,0.008844494,0.06148092,0.0008215245,0.00007183291,0.0001621126,0.03017376,0.0002346934,0.008029713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003571135,"threshold_uncertainty_score":0.007100701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2390278588233034,"score_gpt":0.3025694594887895,"score_spread":0.0635416006654862,"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."}}