{"id":"W4233079289","doi":"10.14806/ej.v19i1.606","title":"The Global Organisation for Bioinformatics Learning, Education & Training (GOBLET)","year":2013,"lang":"en","type":"article","venue":"EMBnet journal","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Norwegian Biodiversity Information Centre; Université de Lausanne; Radboud Universiteit; University of New South Wales; Macquarie University; Commonwealth Scientific and Industrial Research Organisation; University of Cape Town; Universität Basel; Universidad de Málaga; Ontario Institute for Cancer Research; Université du Luxembourg","keywords":"Globe; Variety (cybernetics); Visibility; Training (meteorology); Value (mathematics); Public relations; Core (optical fiber); Political science; Knowledge management; Computer science; Biology; Geography; Artificial intelligence; Telecommunications","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":[0.005697764,0.001202521,0.001110845,0.002704507,0.001014621,0.00518128,0.001473063,0.003198948,0.08271661],"category_scores_gemma":[0.01184922,0.0003016378,0.0005268767,0.003940523,0.001368868,0.002711667,0.003645618,0.003874986,0.09893396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001675111,"about_ca_system_score_gemma":0.01609318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003745508,"about_ca_topic_score_gemma":0.002204314,"domain_scores_codex":[0.9960837,0.001055643,0.0002243938,0.0005915848,0.00118725,0.0008572295],"domain_scores_gemma":[0.9817426,0.002732608,0.002149863,0.002498009,0.003916131,0.006960661],"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":[0.0004412066,0.0001112548,0.002018522,0.0007342889,0.00004044893,0.0002421242,0.0001665607,0.0003396771,0.002923835,0.01536137,0.6259497,0.351671],"study_design_scores_gemma":[0.0000913434,0.00007598568,0.003780661,0.0003293175,0.000008952145,0.0001784517,0.000122644,0.0003404965,0.0005676949,0.002445724,0.9920418,0.00001698514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01725678,0.05122524,0.04150201,0.1924819,0.02385681,0.002754648,0.07033095,0.01740508,0.5831866],"genre_scores_gemma":[0.06544691,0.03064328,0.1081657,0.02387668,0.001980558,0.002238077,0.07327417,0.005740803,0.6886337],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08271661,"threshold_uncertainty_score":0.2767146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273019757531064,"score_gpt":0.3064984702373998,"score_spread":0.2837682726620891,"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."}}