{"id":"W2550304074","doi":"10.1038/srep37031","title":"LbCML38 and LbRH52, two reference genes derived from RNA-Seq data suitable for assessing gene expression in Lycium barbarum L.","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Laboratory of Plant Molecular Genetics; University of Toronto; National Natural Science Foundation of China; Natural Science Foundation of Ningxia Province; Ningxia University","keywords":"Lycium; Gene; RNA-Seq; Gene expression; Biology; Computational biology; RNA; Genetics; Transcriptome; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0008044089,0.0009535672,0.0009390554,0.001016842,0.0005755279,0.0006324002,0.0006584815,0.0005331928,0.001699293],"category_scores_gemma":[0.0009516829,0.0003589178,0.0005961444,0.001304251,0.0003843758,0.0004543934,0.0005090679,0.0007656198,0.001123667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009291074,"about_ca_system_score_gemma":0.0007709188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003572513,"about_ca_topic_score_gemma":0.007459037,"domain_scores_codex":[0.999087,0.00008156455,0.00005555137,0.0004034422,0.0002977235,0.00007472424],"domain_scores_gemma":[0.999572,0.00008455624,0.0001295526,0.0000423599,0.0001468226,0.00002481217],"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":[0.0001550778,0.00002032462,0.001753597,0.0004136781,0.00001968214,0.00006942041,0.0001268986,0.0003918303,0.9867573,0.0002103093,0.0006110152,0.009470998],"study_design_scores_gemma":[0.00006336722,0.0004314971,0.08933745,0.0002287151,0.0002510155,0.0006331543,0.0003377583,0.0114947,0.8223684,0.0005621954,0.07419443,0.00009744987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7113842,0.01535016,0.1820717,0.0007088023,0.0005134696,0.0006955792,0.07250471,0.006291686,0.01047966],"genre_scores_gemma":[0.6123332,0.004163236,0.2386145,0.001002052,0.0001113805,0.002211241,0.1279501,0.002235736,0.01137855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003572513,"threshold_uncertainty_score":0.007103443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04027464914661782,"score_gpt":0.3243891622221794,"score_spread":0.2841145130755616,"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."}}