{"id":"W4251023000","doi":"10.4056/sigs.2034671","title":"Meeting report from the first meetings of the Computational Modeling in Biology Network (COMBINE)","year":2011,"lang":"en","type":"article","venue":"Standards in Genomic Sciences","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; National Institutes of Health; Memorial Sloan-Kettering Cancer Center","keywords":"SBML; Interoperability; Computer science; Field (mathematics); Software; Data science; World Wide Web; Markup language; XML","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002425514,0.00009532539,0.0001521747,0.00003165357,0.0001787409,0.00001172296,0.0005549405,0.00006707785,0.00001323727],"category_scores_gemma":[0.0001594745,0.00006031315,0.00007867418,0.0003534735,0.0004125522,0.00000312894,0.000256709,0.00007229138,2.36953e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004037382,"about_ca_system_score_gemma":0.0002713905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009325118,"about_ca_topic_score_gemma":0.003387216,"domain_scores_codex":[0.9987121,0.0001209704,0.0003986742,0.0003396203,0.0002020445,0.0002266244],"domain_scores_gemma":[0.9993964,0.00004784933,0.0001940222,0.0002673258,0.00007721847,0.00001722596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001803804,0.00001269621,0.4688836,0.00000153762,0.00002030609,0.000001083362,0.0003550861,0.5285034,0.001649022,0.0001393688,0.0001765693,0.000239317],"study_design_scores_gemma":[0.00159024,0.0002641689,0.3795505,0.0003358489,0.00009934588,0.00003774111,0.002519258,0.5141395,0.009592184,0.08505824,0.00596199,0.0008510528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952193,0.001672063,0.001313897,0.0001569003,0.0001757418,0.0001004614,0.00001505324,0.000002526231,0.001344087],"genre_scores_gemma":[0.9971547,0.00004348722,0.002577954,0.00009200194,0.0001069413,0.000005466615,0.000007333277,0.000005701123,0.000006401793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08933314,"threshold_uncertainty_score":0.2459499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02870795880073446,"score_gpt":0.2742888446533571,"score_spread":0.2455808858526227,"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."}}