{"id":"W2915108429","doi":"10.1093/nar/gkq1116","title":"The BioGRID Interaction Database: 2011 update","year":2010,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":867,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"National Human Genome Research Institute; Biotechnology and Biological Sciences Research Council; National Center for Research Resources; Directorate for Biological Sciences; National Institutes of Health; Canadian Institutes of Health Research; European Commission; Scottish Funding Council","keywords":"Biology; Budding yeast; Database; Schizosaccharomyces; Schizosaccharomyces pombe; Computational biology; Bioinformatics; World Wide Web; Saccharomyces cerevisiae; Computer science; Yeast; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002447546,0.002730958,0.00279254,0.007727399,0.001221055,0.005041131,0.004417577,0.001902132,0.04706259],"category_scores_gemma":[0.007297342,0.001572311,0.001673536,0.01196081,0.0004277305,0.00396122,0.004450965,0.002696548,0.07588014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003062301,"about_ca_system_score_gemma":0.0056425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01739825,"about_ca_topic_score_gemma":0.02330579,"domain_scores_codex":[0.9985542,0.0002170746,0.0002999897,0.0002130578,0.0005907021,0.0001250727],"domain_scores_gemma":[0.9976858,0.0003860341,0.0002310933,0.0004995069,0.0008427648,0.0003548702],"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":[0.0001059969,0.00001925652,0.0003558203,0.001077371,0.00007274347,0.00005168014,0.00002933174,0.0004397273,0.0002698655,0.001476869,0.9503014,0.04579987],"study_design_scores_gemma":[0.00002908587,0.000004891399,0.0007524702,0.0003204483,0.00004411611,0.00009929439,0.00001212054,0.0002030326,0.000170575,0.001222227,0.9971194,0.0000223495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002275489,0.06312832,0.0147051,0.008739777,0.003202381,0.000289927,0.8368499,0.03020874,0.04060049],"genre_scores_gemma":[0.00280798,0.02679871,0.01067623,0.001590649,0.000414075,0.0004082039,0.9421501,0.002923263,0.0122308],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04706259,"threshold_uncertainty_score":0.1574401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02466136142040789,"score_gpt":0.3283419892006498,"score_spread":0.3036806277802419,"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."}}