{"id":"W7071350968","doi":"","title":"Special track on bioinformatics and computational systems biology","year":2011,"lang":"en","type":"article","venue":"NPARC","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Systems biology; Track (disk drive); Modelling biological systems; Computational model; Computational genomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002178355,0.0001193327,0.0001267156,0.00006870084,0.00007021255,0.00002636452,0.0001596844,0.000167805,0.0001142909],"category_scores_gemma":[0.00009450849,0.00009636146,0.00003969303,0.00005055819,0.0002643351,0.000003557917,0.00009320981,0.00009621644,0.00008932236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000082769,"about_ca_system_score_gemma":0.000060601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005031574,"about_ca_topic_score_gemma":0.000002978936,"domain_scores_codex":[0.9991139,0.00003241018,0.0002699349,0.0001536859,0.0001722877,0.0002577535],"domain_scores_gemma":[0.9995046,0.00002074415,0.00006414937,0.000167933,0.00008462038,0.000157943],"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":[0.00136694,0.00116719,0.01092894,0.0009226418,0.0006203466,0.00002520399,0.004728531,0.0001661716,0.09671108,0.06196817,0.2933363,0.5280585],"study_design_scores_gemma":[0.006358101,0.01066504,0.02686543,0.0001547043,0.00007893623,0.0002188606,0.002743921,0.04207603,0.0490348,0.02479372,0.8350566,0.001953858],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5627464,0.0001478229,0.01072577,0.0003026489,0.001584592,0.0006268483,0.0001778749,0.0000368999,0.4236511],"genre_scores_gemma":[0.9827183,0.0002740484,0.01392792,0.0004161407,0.001719065,0.00001305896,0.0002233639,0.00001470311,0.0006933815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5417203,"threshold_uncertainty_score":0.3929506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03035702014080976,"score_gpt":0.2736571909093256,"score_spread":0.2433001707685158,"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."}}