{"id":"W2057065397","doi":"10.1002/pmic.201100594","title":"Protein interaction networks in medicine and disease","year":2012,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Interaction network; Protein Interaction Networks; Protein–protein interaction; Computational biology; Complex network; Biological network; Phenotype; Disease; Computer science; Biology; Bioinformatics; Genetics; Medicine; 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":[0.0007496233,0.001081185,0.00152334,0.002444666,0.0005383377,0.001707424,0.0009551047,0.001969174,0.003406292],"category_scores_gemma":[0.001043187,0.0003279111,0.0004307788,0.002815224,0.001705198,0.002138632,0.00122374,0.001958933,0.002012651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572141,"about_ca_system_score_gemma":0.001549257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001326522,"about_ca_topic_score_gemma":0.001540377,"domain_scores_codex":[0.9996277,0.0001053536,0.00003534555,0.00006838511,0.0001311627,0.00003197708],"domain_scores_gemma":[0.9995327,0.0002542794,0.00006099121,0.00001876379,0.00009118178,0.00004214203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004810988,0.00006039927,0.0004090453,0.01007491,0.0001341357,0.0005086887,0.0002391865,0.001513078,0.00164632,0.06398119,0.05972783,0.8616571],"study_design_scores_gemma":[0.000009749617,0.00004103262,0.0008985945,0.002236859,0.00004676162,0.002145833,0.000117424,0.0003484512,0.0003885888,0.03551542,0.9582208,0.00003042375],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001825013,0.9947667,0.001016953,0.001228965,0.0004193443,0.000007087947,0.00001864653,0.00001876527,0.002341009],"genre_scores_gemma":[0.002438052,0.9947965,0.0006516401,0.0004376605,0.0004722638,0.00001484726,0.00003528724,0.000003581077,0.001150241],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003406292,"threshold_uncertainty_score":0.01140678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03584333929969524,"score_gpt":0.3070688153810381,"score_spread":0.2712254760813429,"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."}}