{"id":"W2917431650","doi":"10.1093/nar/gkm1001","title":"The BioGRID Interaction Database: 2008 update","year":2007,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":701,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Center for Research Resources; Cancer Research UK; Wellcome Trust","keywords":"Biology; Budding yeast; Schizosaccharomyces pombe; Schizosaccharomyces; Database; Visualization; Computational biology; Saccharomyces cerevisiae; Gene interaction; Bioinformatics; Yeast; Genetics; Gene; Computer science; Data mining","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":[0.001672817,0.002384636,0.002241749,0.005533057,0.0009242244,0.003994626,0.004354933,0.00157112,0.03171946],"category_scores_gemma":[0.005168175,0.001204344,0.001251332,0.009370052,0.0003394709,0.00316529,0.003277376,0.00250448,0.04920546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001928274,"about_ca_system_score_gemma":0.003650363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01370129,"about_ca_topic_score_gemma":0.01288094,"domain_scores_codex":[0.999032,0.0001502336,0.0001839287,0.000145416,0.0004080696,0.0000804673],"domain_scores_gemma":[0.9984139,0.0002389531,0.0001503578,0.0003879449,0.0005613534,0.0002474881],"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":[0.00009274941,0.00002180809,0.000386886,0.0005783219,0.00004898624,0.00004910514,0.00002858667,0.0006593299,0.0002850031,0.001846451,0.9454403,0.05056247],"study_design_scores_gemma":[0.00003674358,0.000004339568,0.0006848498,0.000152577,0.00003330753,0.0001226028,0.00001348342,0.0004758386,0.0001974627,0.001712342,0.9965468,0.00001968838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003840301,0.04435525,0.03775164,0.009497561,0.003332611,0.0003698888,0.7931266,0.05998397,0.04774224],"genre_scores_gemma":[0.0047289,0.01610406,0.02113234,0.001529378,0.0004361436,0.0004594212,0.9396268,0.00400909,0.01197395],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03171946,"threshold_uncertainty_score":0.1061122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02915517991538183,"score_gpt":0.3427645825477472,"score_spread":0.3136094026323654,"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."}}