{"id":"W2132022258","doi":"10.1101/gr.092452.109","title":"The human protein coevolution network","year":2009,"lang":"en","type":"article","venue":"Genome Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Coevolution; Biology; Function (biology); Evolutionary biology; Phylogenetic tree; Computational biology; Molecular evolution; Genome; Protein family; Protein domain; Phylogenetics; Phenotype; Tree of life (biology); Genetics; Gene","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":[0.0004405208,0.0003142327,0.0004501495,0.002302682,0.0006882397,0.0007834358,0.0003745095,0.0004924416,0.002634088],"category_scores_gemma":[0.003439236,0.0002021177,0.0004285137,0.003404343,0.0005572495,0.001075411,0.0008019667,0.0004229734,0.0008367235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006268758,"about_ca_system_score_gemma":0.00056197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004608507,"about_ca_topic_score_gemma":0.00329904,"domain_scores_codex":[0.9991971,0.0002310209,0.00003189039,0.0002391448,0.0002322952,0.00006860519],"domain_scores_gemma":[0.9989557,0.000497064,0.0001999086,0.0001232665,0.0001546109,0.00006936953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006557294,0.0001661445,0.1431162,0.0008218833,0.0007913213,0.002249278,0.001194816,0.2455341,0.03427934,0.1077974,0.03231553,0.4310782],"study_design_scores_gemma":[0.0000440496,0.0001313365,0.1256234,0.000112115,0.0001878632,0.003196416,0.000376785,0.6234781,0.008450674,0.1721531,0.06616749,0.00007863384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7060503,0.007563465,0.2380416,0.001960821,0.00007090333,0.0001893771,0.0130391,0.001723991,0.03136047],"genre_scores_gemma":[0.9524903,0.001458261,0.03701653,0.0002134801,0.00002837535,0.0001169442,0.004998718,0.00007504812,0.003602375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004608507,"threshold_uncertainty_score":0.00916338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02957854120501259,"score_gpt":0.3280773469107536,"score_spread":0.2984988057057411,"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."}}