{"id":"W2903973767","doi":"10.1002/cpbi.69","title":"Using OmicsNet for Network Integration and 3D Visualization","year":2018,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Ste. Anne's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Genome Canada","keywords":"Visualization; Computer science; Computer graphics (images); Artificial intelligence","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":[0.0004328477,0.0001615097,0.0001521634,0.0000571153,0.0001232029,0.00008535913,0.0001268139,0.0001499792,0.000003855346],"category_scores_gemma":[0.00005572096,0.0001496082,0.00003663233,0.0001271661,0.0001061955,0.00002467393,0.0001074235,0.00007697081,0.000002952925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000026116,"about_ca_system_score_gemma":0.00006599643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001229874,"about_ca_topic_score_gemma":0.00001945095,"domain_scores_codex":[0.9989548,0.00001930936,0.0005254897,0.0001379984,0.00008033534,0.0002820183],"domain_scores_gemma":[0.9993727,0.00001163498,0.0002254901,0.0002106793,0.0001238539,0.00005566395],"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":[0.001142876,0.0003522267,0.01141623,0.002322533,0.000110084,2.870127e-7,0.003420718,0.004660795,0.008825178,0.02788423,0.02490306,0.9149618],"study_design_scores_gemma":[0.001328616,0.00048874,0.0002078249,0.0003311854,0.00001280047,0.000006871282,0.00009513147,0.9049489,0.002728138,0.001928536,0.08759468,0.0003286097],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01444185,0.0001319433,0.9610289,0.00001152972,0.0003589742,0.02345497,0.00002644318,0.00001643757,0.000528977],"genre_scores_gemma":[0.205482,0.0004073336,0.7493112,0.001100796,0.005793138,0.03568112,0.001946889,0.0001471242,0.0001303761],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9146332,"threshold_uncertainty_score":0.6100846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05443163514785006,"score_gpt":0.3731338653118793,"score_spread":0.3187022301640292,"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."}}