{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006556606,0.0001766107,0.0002275212,0.00003246586,0.0002021998,0.0000979628,0.0004187062,0.00007768643,0.0001698159],"category_scores_gemma":[0.0003497928,0.0001005376,0.00007017633,0.000199462,0.0006329473,0.0002382066,0.0002814019,0.0001400337,0.00003076331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008268507,"about_ca_system_score_gemma":0.00005756232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001988028,"about_ca_topic_score_gemma":0.000001614367,"domain_scores_codex":[0.9984787,0.0001398188,0.0002995935,0.0004776073,0.0002827037,0.0003215446],"domain_scores_gemma":[0.9990327,0.0005368728,0.00008015297,0.000198352,0.00005054254,0.0001014182],"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":[0.00006423606,0.00001507715,0.00008169965,0.00009081181,0.00001127958,0.00004300614,0.0001040704,0.00001708377,0.996946,0.002234722,0.00003934163,0.0003526668],"study_design_scores_gemma":[0.0004196604,0.001189275,0.1214175,0.001997081,0.0001590717,0.0004555274,0.0004264078,0.002347137,0.8550907,0.008716365,0.006919421,0.0008618284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798567,0.01522844,0.003202263,0.00075059,0.0004281072,0.0001606529,0.00002720889,0.0000761801,0.0002698976],"genre_scores_gemma":[0.9971567,0.002164624,0.0002067241,0.00005530093,0.0003359517,0.00002619165,0.000001881001,0.000006350083,0.00004624299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1418553,"threshold_uncertainty_score":0.4099806,"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."}}