{"id":"W2915975108","doi":"10.1093/nar/gku1204","title":"The BioGRID interaction database: 2015 update","year":2014,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":925,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier de l'Université Laval; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; Université de Montréal; Institute for Research in Immunology and Cancer","funders":"National Heart, Lung, and Blood Institute; Biotechnology and Biological Sciences Research Council; National Institutes of Health","keywords":"Biology; Data curation; Database; Model organism; Computational biology; Bioinformatics; World Wide Web; Computer science; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003030574,0.001856447,0.002247432,0.006669769,0.0009437388,0.00467736,0.004313193,0.00163218,0.02677586],"category_scores_gemma":[0.009352457,0.001238397,0.001473939,0.009964233,0.0004534534,0.003680778,0.004448069,0.002166121,0.03558273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002589977,"about_ca_system_score_gemma":0.005306909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01773861,"about_ca_topic_score_gemma":0.0197956,"domain_scores_codex":[0.9982299,0.0002693391,0.0004227341,0.0002291535,0.0007178863,0.0001310094],"domain_scores_gemma":[0.996549,0.0005998684,0.0004176226,0.0008239354,0.001093287,0.0005162274],"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":[0.0001791873,0.00002851519,0.0007909748,0.001120458,0.0001118947,0.00006765259,0.00004866007,0.0007250585,0.0004504411,0.002570989,0.9327391,0.06116693],"study_design_scores_gemma":[0.00003898086,0.000005856363,0.001057531,0.0002501457,0.00005506239,0.000103613,0.00001430971,0.0003359471,0.0002815029,0.001637834,0.996195,0.00002435195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004022521,0.04243653,0.02813861,0.008894031,0.002631268,0.0004241543,0.8388415,0.04367925,0.030932],"genre_scores_gemma":[0.005448672,0.01461601,0.01519812,0.001809218,0.000371168,0.0004512828,0.9501998,0.003674918,0.008230785],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9953226,"threshold_uncertainty_score":0.08957422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02568691385085878,"score_gpt":0.3375835671002954,"score_spread":0.3118966532494366,"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."}}