{"id":"W2154871726","doi":"10.1093/bib/bbr064","title":"Bioinformatics Training Network (BTN): a community resource for bioinformatics trainers","year":2011,"lang":"en","type":"review","venue":"Briefings in Bioinformatics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Swiss Institute of Bioinformatics; European Commission; Ontario Institute for Cancer Research; European Bioinformatics Institute","keywords":"Upload; Resource (disambiguation); Computer science; Variety (cybernetics); Set (abstract data type); Training (meteorology); Relation (database); Quality (philosophy); Publication; Component (thermodynamics); World Wide Web; Artificial intelligence; Business; Database","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":[0.01410813,0.0008273957,0.0007067457,0.00434737,0.003917641,0.004822634,0.003679619,0.003913417,0.1710252],"category_scores_gemma":[0.01925013,0.0006960117,0.0004529188,0.005081519,0.001148219,0.005268628,0.01221997,0.003988331,0.09660602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00260168,"about_ca_system_score_gemma":0.0244106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005249645,"about_ca_topic_score_gemma":0.01930923,"domain_scores_codex":[0.9955189,0.001446919,0.0002794329,0.0003812562,0.001495198,0.0008782134],"domain_scores_gemma":[0.9492942,0.003796153,0.001658532,0.002164316,0.006729853,0.03635693],"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":[0.00006741834,0.0001108504,0.0005148023,0.0002015002,0.000002734748,0.00008874803,0.0002709928,0.000099677,0.0008190582,0.00118448,0.8815025,0.1151372],"study_design_scores_gemma":[0.00001746514,0.00002483226,0.0006049565,0.00008653189,0.000001523293,0.00005430946,0.0001622787,0.0001153199,0.00009008016,0.0005024048,0.9983289,0.00001150096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.01638085,0.01301602,0.05573061,0.3168339,0.04512862,0.006714299,0.04605615,0.0248116,0.475328],"genre_scores_gemma":[0.0229059,0.007178407,0.0826162,0.03582929,0.009901921,0.005521598,0.04692147,0.006404835,0.7827204],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1710252,"threshold_uncertainty_score":0.5721363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013823749522816,"score_gpt":0.3358572481240538,"score_spread":0.2344748731717721,"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."}}