{"id":"W2141754664","doi":"10.1186/1752-0509-4-68","title":"Reconstruction of the yeast protein-protein interaction network involved in nutrient sensing and global metabolic regulation","year":2010,"lang":"en","type":"article","venue":"BMC Systems Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fondation Chalmers; Göteborgs Universitet; Tekniikan Edistämissäätiö; Knut och Alice Wallenbergs Stiftelse; Academy of Finland","keywords":"Systems biology; Yeast; Protein–protein interaction; Computational biology; Metabolic regulation; Protein Interaction Networks; Biology; Nutrient sensing; Computer science; Cell biology; Biochemistry; Metabolism; Signal transduction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003215217,0.0000984143,0.0001579727,0.00002136346,0.00004756521,0.00001378004,0.00007283002,0.0002425774,0.000001472766],"category_scores_gemma":[0.00003946879,0.00007418966,0.00004241776,0.0001032757,0.0001013191,0.000004834341,0.0000767242,0.0001103272,8.418123e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001201828,"about_ca_system_score_gemma":0.00004430409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000232546,"about_ca_topic_score_gemma":0.00137762,"domain_scores_codex":[0.9991755,0.000133657,0.0003346962,0.0001686069,0.00003720774,0.0001503355],"domain_scores_gemma":[0.9994185,0.00000553591,0.0002617601,0.0002334142,0.0000538475,0.00002697471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001219945,0.00001518922,0.05147155,0.00006717644,0.00002823357,8.942256e-8,0.00003560912,0.0004241758,0.9251747,0.01033335,0.00005394882,0.01227395],"study_design_scores_gemma":[0.00937468,0.001196531,0.2842464,0.001937238,0.0001907791,0.001242508,0.002634312,0.2127293,0.3512905,0.06381939,0.06892079,0.002417563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990963,0.0004161152,0.006806287,0.00002390976,0.001023318,0.0005458933,0.000008818783,0.000004806858,0.000207882],"genre_scores_gemma":[0.9983966,0.000008678044,0.001125151,0.00001159322,0.0003867719,0.00001459078,0.00002268809,0.000005476044,0.00002845282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5738842,"threshold_uncertainty_score":0.3025366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00909751835590655,"score_gpt":0.2240186955211739,"score_spread":0.2149211771652674,"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."}}