{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007234617,0.0001377757,0.0001471793,0.00005285028,0.0001937004,0.0001113602,0.0002912086,0.0001548133,0.00001435718],"category_scores_gemma":[0.0001488828,0.0001015808,0.00003142363,0.00008376123,0.0001888801,0.00002173847,0.000493885,0.0000473006,0.000001311041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001336627,"about_ca_system_score_gemma":0.0001152829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005117939,"about_ca_topic_score_gemma":0.00008303986,"domain_scores_codex":[0.9980971,0.0000501217,0.0003264947,0.001137638,0.0001087524,0.0002798614],"domain_scores_gemma":[0.9981363,0.00002373197,0.0001833583,0.001483471,0.00008990578,0.00008316496],"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":[0.000008581915,0.00002611962,0.006526329,0.000004254667,0.000005919853,0.000008895203,0.000005782869,0.000001010301,0.9849771,0.00001162264,0.00284264,0.005581775],"study_design_scores_gemma":[0.0002150523,0.00001793387,0.001856764,0.0000364001,0.000009174742,0.00002380371,0.00001075812,0.00004408863,0.9353163,0.001845586,0.06046732,0.0001568239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9176714,0.001056124,0.07999412,0.0001711722,0.0004161526,0.0003699445,0.00009794615,0.000023496,0.0001996313],"genre_scores_gemma":[0.9613597,0.0001337687,0.03586576,0.00005203721,0.00009112464,0.0001175788,0.001527752,0.00001796838,0.0008343314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05762468,"threshold_uncertainty_score":0.4142344,"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."}}