{"id":"W4366824660","doi":"10.1016/j.patter.2023.100738","title":"Network embedding unveils the hidden interactions in the mammalian virome","year":2023,"lang":"en","type":"article","venue":"Patterns","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Université de Montréal","funders":"Institut de Valorisation des Données; Compute Canada; Courtois Foundation; Wellcome Trust; National Science Foundation","keywords":"Human virome; Embedding; Bipartite graph; Computer science; Computational biology; Biology; Graph; Metagenomics; Theoretical computer science; Artificial intelligence; Gene; Genetics","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":[0.00058712,0.00008107894,0.0001183014,0.00005977205,0.0001214245,0.00005035619,0.0001681857,0.00002100257,0.0008525838],"category_scores_gemma":[0.00007186273,0.00004357395,0.00006378276,0.0004154969,0.00001998252,0.00005292079,0.00004477972,0.0001975645,0.0003695636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003829923,"about_ca_system_score_gemma":0.00006033549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000554693,"about_ca_topic_score_gemma":0.0003226505,"domain_scores_codex":[0.9990112,0.0001251568,0.0001883901,0.0001382548,0.0001939379,0.0003431139],"domain_scores_gemma":[0.9992183,0.000292103,0.00003922917,0.0003425656,0.00001516485,0.00009256951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000871481,0.0003012607,0.714181,0.0002986261,0.0001005491,0.0005444665,0.01329579,0.000423057,0.00003094124,0.005121359,0.1778408,0.08777506],"study_design_scores_gemma":[0.0003400533,0.00004707979,0.913744,0.0001430986,0.00003377979,0.00004103137,0.005663924,0.002682069,9.689878e-7,0.0008107098,0.07641818,0.00007512091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.92264,0.00003982143,0.0001687974,0.0663927,0.0005634818,0.0003938629,0.00002095758,0.00007333361,0.009707107],"genre_scores_gemma":[0.9889184,0.000027314,0.00001666144,0.008705683,0.0008782806,0.00006324791,0.0000458163,0.00001369582,0.001330849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.199563,"threshold_uncertainty_score":0.9335195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05725981795430261,"score_gpt":0.3639030977227341,"score_spread":0.3066432797684315,"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."}}