{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000280948,0.0001159947,0.0001254598,0.00004815961,0.00006122851,0.00002992534,0.0001876188,0.0000828906,0.000009399403],"category_scores_gemma":[0.00006698446,0.00008247297,0.000074242,0.0000618809,0.00004271446,0.000004942753,0.0001288631,0.0000658742,0.00001093999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002750021,"about_ca_system_score_gemma":0.0000326787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003342021,"about_ca_topic_score_gemma":0.00001349318,"domain_scores_codex":[0.9991813,0.00002555295,0.0002486843,0.0002354916,0.00004820532,0.0002608149],"domain_scores_gemma":[0.9995257,0.00002699578,0.0000821129,0.0002726321,0.00003332721,0.00005920845],"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":[0.0002729221,0.0001248026,0.01091649,0.00003731458,0.00003532931,0.000001551725,0.00002231793,0.00001694409,0.9781898,0.003512719,0.001505494,0.005364317],"study_design_scores_gemma":[0.00194862,0.0003487713,0.008926851,0.0002397423,0.000004375621,0.000001047098,0.00002404144,0.0001696468,0.08394288,0.00007369991,0.9040417,0.0002786188],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7485361,0.0002500899,0.1083684,0.00122221,0.0003347176,0.1392842,0.0001532186,0.0001323458,0.001718748],"genre_scores_gemma":[0.9426305,0.000006813676,0.002461603,0.0001703102,0.000284196,0.05424569,0.000002336801,0.00001967691,0.0001788853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9025362,"threshold_uncertainty_score":0.336315,"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."}}