{"id":"W2403880286","doi":"10.1093/bioinformatics/bts490","title":"ECCB 2012: The 11th European Conference on Computational Biology","year":2012,"lang":"en","type":"article","venue":"Computer applications in the biosciences","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University at Buffalo; Swiss Institute of Bioinformatics; Schweizerische Akademie der Medizinischen Wissenschaften; Université de Genève; Eidgenössische Technische Hochschule Zürich; Universität Zürich; Branco Weiss Fellowship – Society in Science; Universität Basel; European Bioinformatics Institute; Universitätsspital Zürich; Microsoft Research","keywords":"Computer science; Computational biology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.011946,0.003083994,0.004078824,0.004288096,0.002282249,0.01437627,0.0057923,0.00635271,0.2421713],"category_scores_gemma":[0.02270314,0.001361337,0.002651358,0.004700114,0.002512729,0.01100832,0.008643459,0.00935601,0.1881449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002718158,"about_ca_system_score_gemma":0.00678061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002371058,"about_ca_topic_score_gemma":0.002062863,"domain_scores_codex":[0.9880978,0.003302011,0.0009255963,0.001832153,0.00486884,0.0009734594],"domain_scores_gemma":[0.9826499,0.004788135,0.0005694231,0.003373603,0.005495663,0.003123298],"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":[0.00005937865,0.00004187479,0.0000840685,0.0003164426,0.00002931528,0.00004578604,0.00004790303,0.0004861233,0.0003625989,0.009545935,0.9280571,0.06092343],"study_design_scores_gemma":[0.00001606831,0.00001597509,0.000183935,0.0002412365,0.000007992043,0.00007036463,0.00002464969,0.0007256647,0.0001381097,0.004648162,0.9939077,0.00002015577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.00308555,0.116039,0.203392,0.07695486,0.255451,0.00167633,0.01532948,0.01706238,0.3110094],"genre_scores_gemma":[0.01429089,0.09912918,0.1175074,0.01803612,0.0541546,0.002784657,0.06114571,0.01685122,0.6161002],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.2421713,"threshold_uncertainty_score":0.8101438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04298584498611423,"score_gpt":0.3267162124132776,"score_spread":0.2837303674271634,"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."}}