{"id":"W2154109695","doi":"10.1186/1471-2164-11-262","title":"De novo sequencing and analysis of the American ginseng root transcriptome using a GS FLX Titanium platform to discover putative genes involved in ginsenoside biosynthesis","year":2010,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Ginseng Biological Effects and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":295,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Ginsenoside; Biology; KEGG; Methyl jasmonate; Transcriptome; Ginseng; Contig; Metabolic pathway; Gene; DNA microarray; Expressed sequence tag; Computational biology; Biosynthesis; Genome; Genetics; Gene expression","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":[0.0003708825,0.0009905838,0.00115764,0.0008931847,0.000881117,0.0007700591,0.000465294,0.0004880816,0.001415521],"category_scores_gemma":[0.000429292,0.0003457652,0.001383202,0.001410465,0.0002912201,0.0003839923,0.0005964339,0.001103127,0.001292014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005219673,"about_ca_system_score_gemma":0.0009994117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00221489,"about_ca_topic_score_gemma":0.003949064,"domain_scores_codex":[0.999608,0.00002797453,0.00003298747,0.0001533348,0.0001178687,0.00005993058],"domain_scores_gemma":[0.9997604,0.00005029095,0.00004830073,0.00002786634,0.00008503762,0.00002809123],"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":[0.0002185067,0.00005196699,0.001378719,0.0003603738,0.00004632215,0.0001768767,0.0001379595,0.0007250643,0.9849498,0.0002169078,0.0006538464,0.01108349],"study_design_scores_gemma":[0.0002513918,0.001051021,0.1359191,0.0002281336,0.001053785,0.001394774,0.0006910517,0.04579237,0.7357453,0.002110932,0.07558038,0.0001817397],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7933116,0.005703419,0.1204767,0.0006553504,0.0003457087,0.001068898,0.06700494,0.003131815,0.008301489],"genre_scores_gemma":[0.5926799,0.004567986,0.2358673,0.000810987,0.0002050269,0.001786355,0.152366,0.001270401,0.01044612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00221489,"threshold_uncertainty_score":0.00473541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02501050014250887,"score_gpt":0.2716298877102523,"score_spread":0.2466193875677435,"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."}}