{"id":"W2297537563","doi":"10.1101/pdb.top080754","title":"BioGRID: A Resource for Studying Biological Interactions in Yeast","year":2016,"lang":"en","type":"article","venue":"Cold Spring Harbor Protocols","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; Université de Montréal; Institute for Research in Immunology and Cancer","funders":"National Center for Research Resources; Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Schizosaccharomyces pombe; Budding yeast; Yeast; Biology; Model organism; Saccharomyces cerevisiae; Computational biology; Schizosaccharomyces; Bioinformatics; Biotechnology; 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":[0.001247827,0.003544387,0.004068895,0.005712823,0.002310787,0.00396452,0.004994413,0.001460737,0.02436098],"category_scores_gemma":[0.002912364,0.001926589,0.003164334,0.01037345,0.0005286686,0.003003375,0.004426261,0.002785052,0.02369192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617136,"about_ca_system_score_gemma":0.003483987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01499294,"about_ca_topic_score_gemma":0.01344187,"domain_scores_codex":[0.9991906,0.0001763038,0.000117695,0.0001908237,0.0002415171,0.00008302783],"domain_scores_gemma":[0.9990461,0.0002278371,0.000093394,0.000298797,0.0001446237,0.0001892539],"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":[0.001259366,0.0001742121,0.00412775,0.007361788,0.001092308,0.001136886,0.0008162048,0.01835951,0.01797404,0.02444035,0.8805082,0.04274938],"study_design_scores_gemma":[0.0008857878,0.00008620336,0.006741952,0.0008479261,0.0004526375,0.000845227,0.0003515218,0.02608075,0.007015176,0.04424838,0.9121431,0.0003012391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.007350382,0.005664564,0.05339647,0.0007283155,0.0003742736,0.0002890358,0.8118999,0.1058679,0.01442915],"genre_scores_gemma":[0.01743715,0.004915616,0.05024562,0.0002154645,0.00007805982,0.0006482886,0.9126355,0.01151075,0.002313634],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02436098,"threshold_uncertainty_score":0.08149558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04030808286606052,"score_gpt":0.301101602197882,"score_spread":0.2607935193318215,"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."}}