{"id":"W2803559294","doi":"10.1016/j.ymeth.2018.05.008","title":"Storage, visualization, and navigation of 3D genomics data","year":2018,"lang":"en","type":"review","venue":"Methods","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Genomics; Data science; Visualization; Computer science; Field (mathematics); Big data; State (computer science); Genome; Computational biology; Biology; Data mining; Genetics","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":[0.0008583127,0.000196684,0.0005627645,0.00003795026,0.00005034825,0.00001275876,0.0003304723,0.0002195764,0.000003699888],"category_scores_gemma":[0.0001409919,0.0001732321,0.00006272842,0.00007893969,0.000114322,5.043512e-7,0.0006489941,0.00004924687,0.000001341933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008296785,"about_ca_system_score_gemma":0.0001148817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005834083,"about_ca_topic_score_gemma":0.000001768771,"domain_scores_codex":[0.9987097,0.000327991,0.0003629197,0.0004379103,0.00005077987,0.0001106943],"domain_scores_gemma":[0.9987687,0.00004464336,0.0002991955,0.0007650286,0.00008857159,0.00003382121],"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":[0.000003423406,0.00001592006,0.000007841753,0.002906214,0.0002684842,2.519014e-7,0.00005352999,7.037613e-7,0.001647738,0.00005312934,0.0008200578,0.9942227],"study_design_scores_gemma":[0.00005930852,0.00006746396,0.000007224085,0.000277579,0.0003100954,0.00001004504,0.000009271974,0.00003886866,0.0003707318,0.00004486457,0.9986359,0.0001686142],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002548732,0.9709527,0.02800825,0.000001241105,0.0002163498,0.0002304472,0.000189393,0.000001593054,0.0001451181],"genre_scores_gemma":[0.000005176631,0.8879955,0.1105885,0.00001071616,0.0002841946,0.00001043546,0.0009603336,0.0000321932,0.0001129065],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9978158,"threshold_uncertainty_score":0.7064199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1207057118312394,"score_gpt":0.4624113083056394,"score_spread":0.3417055964744,"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."}}