{"id":"W2125951746","doi":"10.1093/database/bau108","title":"The Virtual Xenbase: transitioning an online bioinformatics resource to a private cloud","year":2014,"lang":"en","type":"article","venue":"Database","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; University of Calgary","keywords":"Cloud computing; Resource (disambiguation); Computer science; World Wide Web; Operating system; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000969579,0.0001645749,0.0001232734,0.00005689151,0.0003225547,0.0001071955,0.0005561339,0.0001006979,0.00001412679],"category_scores_gemma":[0.0006957109,0.0001169361,0.0000584992,0.0001449331,0.0001989125,0.00001222477,0.0002827692,0.0001718209,0.00007711023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001169262,"about_ca_system_score_gemma":0.00006699723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001041183,"about_ca_topic_score_gemma":0.0001252191,"domain_scores_codex":[0.998434,0.0001028882,0.0003780078,0.0002238726,0.0004025312,0.000458719],"domain_scores_gemma":[0.9985194,0.00005714533,0.00006650286,0.0008493651,0.00009136677,0.0004162415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001202631,0.0007720469,0.0003534034,0.0002817463,0.0001833839,0.0000118191,0.001400761,0.0004203039,0.2565733,0.005351899,0.1479901,0.5854586],"study_design_scores_gemma":[0.0005598736,0.0009488338,0.0001950562,0.00003172829,0.00001213457,0.00001047899,0.0005235689,0.0103313,0.02134826,0.00002765293,0.9657789,0.0002322295],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8732755,0.0001239289,0.1207195,0.002907644,0.0003977372,0.0005287091,0.001318254,0.00004963479,0.0006791268],"genre_scores_gemma":[0.8809564,0.0009213598,0.065164,0.01428109,0.003876186,0.00007957123,0.03231939,0.000116214,0.002285847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8177888,"threshold_uncertainty_score":0.4768516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02192697333157456,"score_gpt":0.2858661606597033,"score_spread":0.2639391873281287,"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."}}