{"id":"W2140466892","doi":"10.1093/bib/bbt007","title":"The Rat Genome Database 2013--data, tools and users","year":2013,"lang":"en","type":"article","venue":"Briefings in Bioinformatics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smiths Detection (Canada)","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Genomics; Genome; Focus (optics); Computer science; World Wide Web; Translational research; Computational biology; Biology; Data science; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002228951,0.00009659713,0.00007039362,0.00002806953,0.0001178858,0.0001732625,0.0003463733,0.00007040089,0.00001491105],"category_scores_gemma":[0.0001158414,0.00006994027,0.00001477891,0.00007352323,0.00009192478,0.00004274058,0.0003206294,0.00007526268,0.00003551607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008408838,"about_ca_system_score_gemma":0.00004413948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006363987,"about_ca_topic_score_gemma":0.00003878075,"domain_scores_codex":[0.9992886,0.00001833322,0.0002551361,0.0001509949,0.000102738,0.0001841544],"domain_scores_gemma":[0.9991168,0.00002155644,0.00009893377,0.0006599255,0.00004240492,0.00006037886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000480249,0.00005344547,0.002040834,0.0001212616,0.00004003875,6.929683e-7,0.0005451587,0.00004975047,0.3150449,0.0007790819,0.5779411,0.1033358],"study_design_scores_gemma":[0.000491179,0.00003963436,0.009679042,0.00002126004,0.000006252227,0.000009889771,0.0004979852,0.004389883,0.006813861,0.00009541855,0.9777458,0.00020978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9356312,0.007647433,0.01904075,0.02305102,0.0009321877,0.002565026,0.0004207328,0.00008663729,0.01062508],"genre_scores_gemma":[0.9022477,0.02954259,0.039929,0.01726928,0.0005059701,0.0003690291,0.00507742,0.00009186745,0.004967106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3998047,"threshold_uncertainty_score":0.2852081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489016400744046,"score_gpt":0.2544243681694289,"score_spread":0.2295342041619885,"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."}}