{"id":"W2020424190","doi":"10.1038/npre.2011.5627.1","title":"The BioGRID Interaction Database","year":2011,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"","keywords":"Budding yeast; Biology; Schizosaccharomyces; Data curation; World Wide Web; Computational biology; Computer science; Database; Schizosaccharomyces pombe; Bioinformatics; Data science; Saccharomyces cerevisiae; 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":[],"consensus_categories":[],"category_scores_codex":[0.001674462,0.003864619,0.003901327,0.01082145,0.002534624,0.006210208,0.006045089,0.002900502,0.08598763],"category_scores_gemma":[0.005172043,0.001324305,0.002835258,0.01652445,0.000571749,0.003181476,0.005228862,0.002804309,0.1058001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002154465,"about_ca_system_score_gemma":0.003977341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01262542,"about_ca_topic_score_gemma":0.01336036,"domain_scores_codex":[0.9979911,0.000398482,0.0003330728,0.0004599246,0.0006100931,0.000207346],"domain_scores_gemma":[0.9981492,0.0003981582,0.0001957329,0.0006160767,0.0003804415,0.0002604514],"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":[0.0002915278,0.00004882961,0.001068025,0.003282191,0.0002458713,0.0002229664,0.0001188105,0.002689611,0.001568496,0.01315414,0.9542631,0.02304651],"study_design_scores_gemma":[0.00007745458,0.000009747066,0.0007394846,0.000328599,0.00007177512,0.00016283,0.00005909811,0.001596709,0.00067991,0.01016784,0.9860633,0.00004315216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.001283493,0.006919161,0.01321363,0.001175546,0.0004299595,0.0002182949,0.9024991,0.03466639,0.03959438],"genre_scores_gemma":[0.004117732,0.002937444,0.008957951,0.0004007881,0.0000709447,0.0003928193,0.976768,0.002915419,0.003438793],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.08598763,"threshold_uncertainty_score":0.2876573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108348116672116,"score_gpt":0.2627044380182527,"score_spread":0.251869626351041,"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."}}