{"id":"W1990095531","doi":"10.1038/nmeth.1422","title":"Visualizing genomes: techniques and challenges","year":2010,"lang":"en","type":"review","venue":"Nature Methods","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":172,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute; Howard Hughes Medical Institute","keywords":"Genomics; Computer science; Limiting; Genome; Visualization; Data science; Computational biology; Data visualization; DNA sequencing; Comparative genomics; Biology; Data mining; Genetics; 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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0008159432,0.0004133276,0.0008960015,0.00009088348,0.00008525541,0.00002547966,0.0002757398,0.001901546,0.000002846108],"category_scores_gemma":[0.0001190281,0.00032172,0.0002574626,0.0000647073,0.00009219353,3.180648e-7,0.0003626095,0.0008217866,0.00000116118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008388976,"about_ca_system_score_gemma":0.00007401538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.106113e-7,"about_ca_topic_score_gemma":0.00000333486,"domain_scores_codex":[0.9984749,0.0003236108,0.0002776255,0.0006122769,0.00007301373,0.0002385789],"domain_scores_gemma":[0.9990978,0.00009078404,0.0001817521,0.0004959289,0.00006040737,0.00007328758],"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":[0.000001752871,0.000008511031,5.61013e-7,0.002233383,0.000130201,0.000002254213,0.00002003581,2.302863e-9,0.001612308,0.0002235826,0.00006300538,0.9957044],"study_design_scores_gemma":[0.00004509374,0.00008784282,0.000001785124,0.0003826931,0.0002178572,0.000105665,0.00001323545,8.751264e-8,0.001490802,0.0001543512,0.9971493,0.0003513162],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000007225929,0.9960359,0.0001067537,0.00003371072,0.0003932121,0.0003568904,0.00002087354,0.00001067806,0.003034761],"genre_scores_gemma":[0.000001338563,0.8550442,0.1436552,0.00004470528,0.0009159122,0.00007889297,0.00003173171,0.00006166264,0.0001663552],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9970863,"threshold_uncertainty_score":0.9999235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07158610135972797,"score_gpt":0.4499091247774314,"score_spread":0.3783230234177035,"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."}}