{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003917539,0.0013191,0.001607934,0.009238903,0.0007492454,0.003317847,0.002425818,0.0008177415,0.03621491],"category_scores_gemma":[0.01101006,0.0008167209,0.0008976322,0.01203846,0.0003801898,0.002268659,0.002640736,0.001723136,0.05021023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696459,"about_ca_system_score_gemma":0.005422811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02176908,"about_ca_topic_score_gemma":0.03723069,"domain_scores_codex":[0.9976557,0.000413993,0.0004852515,0.0002579113,0.0009977793,0.0001892869],"domain_scores_gemma":[0.9943607,0.0009918554,0.0004971712,0.001378565,0.001868322,0.0009033415],"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":[0.0003192922,0.00003379631,0.002101083,0.001272212,0.0001013869,0.0001074579,0.00008150105,0.0002416107,0.001948424,0.002219441,0.9148079,0.0767659],"study_design_scores_gemma":[0.00007076519,0.00002118292,0.004875881,0.0003676631,0.00007275197,0.0002598294,0.00005235488,0.0003316164,0.001698651,0.001701498,0.9904882,0.00005955089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.001532372,0.002325213,0.005387638,0.001156052,0.0002510466,0.0001788266,0.9651042,0.01484565,0.009219091],"genre_scores_gemma":[0.002117447,0.001536812,0.01147589,0.0004422412,0.00006227082,0.0001950872,0.9796242,0.001502914,0.003043169],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03621491,"threshold_uncertainty_score":0.121151,"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."}}