{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001061255,0.00009494361,0.00006332375,0.00004975098,0.0002427577,0.00006526432,0.001042024,0.00004555075,0.000009224178],"category_scores_gemma":[0.00002623378,0.0000482315,0.00003706363,0.0002222684,0.0006984681,0.000006955097,0.0002027422,0.0001077216,0.00008356563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006987778,"about_ca_system_score_gemma":0.00004794898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004714703,"about_ca_topic_score_gemma":0.000004964215,"domain_scores_codex":[0.9989661,0.0001851795,0.0001825939,0.0001800726,0.0002044847,0.0002815431],"domain_scores_gemma":[0.9993792,0.00009587029,0.00005815552,0.0003442611,0.00005619678,0.00006633477],"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":[0.00005771571,0.00233474,0.04440832,0.00008202827,0.0001000647,0.000001169554,0.007083193,0.001368277,0.02530053,0.2774445,0.08932539,0.552494],"study_design_scores_gemma":[0.0005666695,0.0008150817,0.1900456,0.00002353431,0.00001515622,0.00002952146,0.001414778,0.01411671,0.002989008,0.008868077,0.7805799,0.0005360389],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2873871,0.001401714,0.6636204,0.01152549,0.0009494307,0.001790889,0.00009193783,0.00004535747,0.03318772],"genre_scores_gemma":[0.9946063,0.0001237027,0.003378404,0.001266514,0.0004425384,0.00003853603,0.0000726189,0.000003813786,0.00006762553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7072191,"threshold_uncertainty_score":0.2573535,"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."}}