{"id":"W2070019828","doi":"10.1016/j.bbrc.2014.01.151","title":"Integration, visualization and analysis of human interactome","year":2014,"lang":"en","type":"review","venue":"Biochemical and Biophysical Research Communications","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; York University; University Health Network; Princess Margaret Cancer Centre","funders":"Ontario Ministry of Health and Long-Term Care; International Business Machines Corporation","keywords":"Interactome; Computer science; Context (archaeology); Data science; Visualization; Interaction network; Data integration; Function (biology); Focus (optics); Data visualization; Biological network; Network analysis; Data mining; Computational biology; Biology","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":[0.0006891106,0.0009790998,0.00118526,0.003498768,0.0002092331,0.001185034,0.001268478,0.0008107719,0.001593413],"category_scores_gemma":[0.0008607686,0.0004497062,0.0005816577,0.002681371,0.0005208366,0.001120518,0.0008077041,0.001119994,0.001429011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005119392,"about_ca_system_score_gemma":0.0007217395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001225851,"about_ca_topic_score_gemma":0.001501357,"domain_scores_codex":[0.9997198,0.00003778258,0.00002411568,0.00006418263,0.0001269058,0.00002726656],"domain_scores_gemma":[0.999666,0.0001457535,0.00004591576,0.00002861671,0.00009070147,0.00002312948],"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":[0.00007442362,0.00004436216,0.0003417527,0.007150073,0.00009919851,0.0002492926,0.00004371727,0.0005452837,0.01497166,0.004980329,0.02068492,0.950815],"study_design_scores_gemma":[0.00002360976,0.00006966999,0.003035514,0.001752884,0.0002774784,0.003951537,0.00005741894,0.001580942,0.02711928,0.007736923,0.9543144,0.00008026342],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008910765,0.9843811,0.01074459,0.0004897825,0.00024548,0.0000378697,0.0002955251,0.0002353235,0.002679217],"genre_scores_gemma":[0.005026729,0.9740054,0.01689457,0.0003826966,0.0003100751,0.00006535982,0.0007091772,0.00003738666,0.002568529],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003498768,"threshold_uncertainty_score":0.005330503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09432053327443954,"score_gpt":0.4570635742724478,"score_spread":0.3627430409980082,"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."}}