{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003109416,0.0002813308,0.0005352487,0.00007476778,0.00003386301,0.00002020062,0.0001428971,0.0003405468,0.000009996058],"category_scores_gemma":[0.00005040033,0.0002220985,0.00009288498,0.0000790191,0.00007152282,0.000004957227,0.0001728083,0.0003330533,0.000005991528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003207787,"about_ca_system_score_gemma":0.00008746219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008130433,"about_ca_topic_score_gemma":0.00001110988,"domain_scores_codex":[0.9989095,0.00006490253,0.0004500502,0.0002502263,0.00005926759,0.0002660199],"domain_scores_gemma":[0.9992186,0.000009758713,0.0002539395,0.0002993657,0.00001822334,0.0002001258],"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":[0.00003863427,0.00002698003,0.00001280014,0.004182878,0.00005209206,0.000002018274,0.00002463806,0.00001747849,0.00001495532,0.0002328694,0.0004534608,0.9949412],"study_design_scores_gemma":[0.0001875514,0.00005232893,0.000003253499,0.00320256,0.0001220001,0.00001453955,0.000007014505,0.0004926392,0.000001845446,0.0001504364,0.9954917,0.0002741323],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004845475,0.9937481,0.004246273,0.0000458277,0.0001942745,0.001460461,0.000009721323,0.000006150043,0.0002407797],"genre_scores_gemma":[0.0003288457,0.9969143,0.0008174451,0.00007873569,0.0009368544,0.0003269409,0.0003815143,0.0000393762,0.0001760166],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9950382,"threshold_uncertainty_score":0.9056912,"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."}}