{"id":"W2158804744","doi":"10.1101/gr.092759.109","title":"Circos: An information aesthetic for comparative genomics","year":2009,"lang":"en","type":"article","venue":"Genome Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11925,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Canada's Michael Smith Genome Sciences Centre","funders":"Terry Fox Foundation; Genome British Columbia; Michael Smith Health Research BC; National Cancer Institute; Genome Canada","keywords":"Biology; Genome; Visualization; Computational biology; Comparative genomics; Genomics; Reference genome; ENCODE; Silhouette; Data visualization; Computer science; Genetics; Data mining; Artificial intelligence; Gene","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":[0.004135337,0.001962006,0.001207492,0.004263989,0.001379015,0.004524089,0.002959413,0.00141839,0.05429707],"category_scores_gemma":[0.0126655,0.001343605,0.001696705,0.004520018,0.001407606,0.00481853,0.004484087,0.002980299,0.01556901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031952,"about_ca_system_score_gemma":0.001192015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001232021,"about_ca_topic_score_gemma":0.001688079,"domain_scores_codex":[0.9984078,0.0005447927,0.0002010271,0.0002673146,0.0004654826,0.0001136478],"domain_scores_gemma":[0.9942899,0.003450504,0.0002791944,0.0008041233,0.000793485,0.0003828518],"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":[0.00096168,0.0001382804,0.00114412,0.002416373,0.0001313718,0.001116772,0.002624526,0.005130747,0.0351725,0.1852553,0.3520606,0.4138476],"study_design_scores_gemma":[0.0002383202,0.0001123753,0.001007373,0.0005012529,0.0000577168,0.0008613095,0.0003942265,0.03143531,0.009630358,0.1403598,0.8152457,0.0001562523],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002412564,0.0005104447,0.9119949,0.0006673238,0.0005624998,0.0003089976,0.008008492,0.06229163,0.01324311],"genre_scores_gemma":[0.01888915,0.0006368774,0.9450654,0.0005236848,0.0001839538,0.001317168,0.008665842,0.01906994,0.005647911],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05429707,"threshold_uncertainty_score":0.1816418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09469652756015814,"score_gpt":0.3836350681741679,"score_spread":0.2889385406140098,"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."}}