{"id":"W2003516452","doi":"10.1093/nar/gks1158","title":"The BioGRID interaction database: 2013 update","year":2012,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1031,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Institute for Research in Immunology and Cancer","funders":"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; Wellcome Trust","keywords":"Biology; Workflow; Graphical user interface; Schizosaccharomyces pombe; Schizosaccharomyces; Budding yeast; Plug-in; Model organism; Computational biology; World Wide Web; Database; Bioinformatics; Saccharomyces cerevisiae; Computer science; Yeast; Operating system; Genetics; Gene","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":[0.002178128,0.002867029,0.002984917,0.007097168,0.001099879,0.004935436,0.005276259,0.001687172,0.03989771],"category_scores_gemma":[0.00590113,0.001499439,0.001711412,0.01117408,0.0004642327,0.003868024,0.004315669,0.002515842,0.05998171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00239572,"about_ca_system_score_gemma":0.004454328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01794166,"about_ca_topic_score_gemma":0.02138418,"domain_scores_codex":[0.9986748,0.0001765429,0.0002768506,0.0001817646,0.0005756794,0.0001144551],"domain_scores_gemma":[0.9979864,0.0002815842,0.0002042091,0.0004710996,0.0007138605,0.0003428591],"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":[0.0001396107,0.00003086669,0.0004755011,0.0009132586,0.0000933522,0.00006995792,0.00002768487,0.0006840861,0.0003622783,0.001542317,0.9308312,0.06482995],"study_design_scores_gemma":[0.00004536381,0.000005966599,0.0009809758,0.0002611256,0.00005819771,0.0001528426,0.00001624467,0.000426126,0.0002818065,0.001755963,0.9959832,0.00003210558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003207825,0.06007188,0.02713037,0.008733598,0.003551105,0.0004298591,0.8030337,0.05070332,0.04313827],"genre_scores_gemma":[0.004783379,0.02387615,0.01772512,0.001737542,0.0005525184,0.0005371447,0.9321252,0.004296578,0.01436647],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03989771,"threshold_uncertainty_score":0.1334711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03486140134147318,"score_gpt":0.3395035651109046,"score_spread":0.3046421637694314,"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."}}