{"id":"W2081375228","doi":"10.1016/j.cell.2014.10.050","title":"A Proteome-Scale Map of the Human Interactome Network","year":2014,"lang":"en","type":"article","venue":"Cell","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1458,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Advanced Research; McGill University; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute; National Human Genome Research Institute; National Institute of Mental Health; National Heart, Lung, and Blood Institute; Krembil Foundation; Fonds Wetenschappelijk Onderzoek; Natural Sciences and Engineering Research Council of Canada; Vlaamse regering; Universiteit Gent; Eunice Kennedy Shriver National Institute of Child Health and Human Development; European Commission; Avon Foundation for Women; National Institutes of Health; National Science Foundation","keywords":"Interactome; Biology; Interconnectivity; Computational biology; Human proteome project; Proteome; Human genetics; Genome; Genetics; Proteomics; Gene; Computer science; Artificial intelligence","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":[0.0001027043,0.000316316,0.0002696565,0.002743481,0.000476388,0.0006539128,0.0002444651,0.0003238694,0.005999499],"category_scores_gemma":[0.0006147854,0.0001412236,0.000374463,0.003448423,0.0001608468,0.0004494909,0.0004511595,0.000340491,0.001204963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000375802,"about_ca_system_score_gemma":0.0007062097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004278978,"about_ca_topic_score_gemma":0.006312007,"domain_scores_codex":[0.999909,0.00001124654,0.00000410205,0.00004009387,0.00002461376,0.00001095066],"domain_scores_gemma":[0.9997401,0.00009091543,0.00004748621,0.00003118275,0.00005292501,0.00003747502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002736311,0.0005369127,0.06838027,0.003101547,0.0008195975,0.004077025,0.001254507,0.0878004,0.4425732,0.05878278,0.07865737,0.25128],"study_design_scores_gemma":[0.0001989333,0.0002916268,0.4060402,0.0003255275,0.0005424272,0.00507505,0.0007813842,0.2844396,0.05419073,0.08532932,0.1626517,0.0001335496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6642736,0.005527093,0.09710176,0.002557039,0.0001037468,0.0001768492,0.2001152,0.007389279,0.02275554],"genre_scores_gemma":[0.8364405,0.003279007,0.07467653,0.0002540759,0.00009762085,0.0002125586,0.07954346,0.0002208743,0.005275459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005999499,"threshold_uncertainty_score":0.02007037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004241243796059779,"score_gpt":0.2013892013350399,"score_spread":0.1971479575389801,"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."}}