{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000520774,0.0001913449,0.0007268669,0.0002838503,0.0001749528,0.00005840776,0.0005739057,0.0003218236,0.000005168617],"category_scores_gemma":[0.0001932501,0.0001482704,0.0002368781,0.0007462911,0.0007920751,0.000004389328,0.0008623531,0.0003608362,0.000002665797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001649244,"about_ca_system_score_gemma":0.00005548117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002071494,"about_ca_topic_score_gemma":0.00001211326,"domain_scores_codex":[0.9985237,0.000284304,0.000521683,0.0002926477,0.0001826056,0.0001950301],"domain_scores_gemma":[0.9981976,0.0002228923,0.0001922982,0.001005842,0.0002508954,0.0001305083],"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":[0.0000214111,0.0004649707,0.00001400719,0.004165481,0.002257922,1.84718e-7,0.0001727038,1.372428e-7,0.09288736,0.05032953,0.003334902,0.8463514],"study_design_scores_gemma":[0.0001823914,0.0003779138,0.00005503629,0.00161417,0.00174062,0.000003083903,0.00005823662,0.002476376,0.00144498,0.0007037368,0.9908878,0.0004557018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002137123,0.9960959,0.0007590918,0.00005266673,0.00001290145,0.0003561512,0.0001195038,0.00000759592,0.0004590711],"genre_scores_gemma":[0.04408198,0.9517863,0.0002915376,0.00001669967,0.00007774033,0.00005522417,0.003573907,0.00001631135,0.0001002501],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9875529,"threshold_uncertainty_score":0.604629,"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."}}