{"id":"W4247060564","doi":"10.14806/ej.19.1.606","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":4,"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); Training (meteorology); Visibility; Value (mathematics); Public relations; Political science; Knowledge management; Computer science; Medicine; Artificial intelligence; Geography","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":[0.0007057741,0.0001218962,0.00009849284,0.00003136735,0.00054422,0.0003600553,0.0003066715,0.0001358177,0.0001062678],"category_scores_gemma":[0.000756367,0.00008197862,0.00009314727,0.00006547544,0.0001241891,0.00001639831,0.00006810038,0.0002021503,0.0001475804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005386956,"about_ca_system_score_gemma":0.0005876474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007330988,"about_ca_topic_score_gemma":0.00002244898,"domain_scores_codex":[0.9987297,0.00005131297,0.0004094265,0.00009730611,0.000317251,0.0003950232],"domain_scores_gemma":[0.9990426,0.00003667274,0.0002027274,0.0001684837,0.0003221215,0.0002274449],"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":[0.00006467156,0.00008858796,0.002447095,0.00007611746,0.0001277044,1.869614e-7,0.001476087,0.00009480317,0.01338404,0.000381226,0.2689347,0.7129248],"study_design_scores_gemma":[0.0005517592,0.0004686727,0.002074154,0.000017628,0.00001623686,0.000133939,0.003857547,0.002075114,0.001670868,0.003404062,0.9855342,0.0001958221],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8093719,0.001929844,0.1546559,0.008331892,0.002715603,0.001691469,0.00002967251,0.00004988154,0.02122377],"genre_scores_gemma":[0.9243951,0.00335333,0.05403917,0.00181431,0.003980963,0.0001145803,0.0006243301,0.00004983303,0.01162832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7165995,"threshold_uncertainty_score":0.4185755,"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."}}