{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001343573,0.00009440072,0.00006422837,0.000049385,0.0004731005,0.000139125,0.0005225478,0.0001506689,0.0002439374],"category_scores_gemma":[0.0000943588,0.00006538322,0.00005300049,0.00009790563,0.0002819758,0.000008833449,0.0004396843,0.0006929041,0.0006845235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009358818,"about_ca_system_score_gemma":0.00006935357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000327338,"about_ca_topic_score_gemma":0.0001779445,"domain_scores_codex":[0.9988683,0.00006952277,0.0001780539,0.0002122067,0.000250999,0.0004208535],"domain_scores_gemma":[0.9989065,0.00004086514,0.00004138572,0.0007342282,0.0001688583,0.0001081843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001608456,0.00004475282,0.0004697365,0.0000116367,0.00005187941,0.0000023823,0.00004575054,0.000004409061,0.5915928,0.003262259,0.3276635,0.07669009],"study_design_scores_gemma":[0.0001871226,0.00009067452,0.0005214631,0.000003876056,0.000002680511,0.00001698333,0.0001240786,0.001153968,0.0237461,0.0004001351,0.9736521,0.0001008492],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673028,0.0007942178,0.001555475,0.003702251,0.001770719,0.0004716908,0.00006395681,0.00002868183,0.02431023],"genre_scores_gemma":[0.994502,0.001102441,0.001002556,0.0001926668,0.0008777868,0.00002623869,0.0001927865,0.00002343049,0.002080095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6459886,"threshold_uncertainty_score":0.8798393,"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."}}