{"id":"W2602821676","doi":"10.1186/s12864-017-3499-7","title":"Visualization of consensus genome structure without using a reference genome","year":2017,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Bioscience Database Center; Institute of Genetics; Ministry of Economy, Trade and Industry","keywords":"Biology; Genome; Computational biology; Visualization; DNA microarray; Reference genome; Genetics; Evolutionary biology; Computer science; Data mining; Gene; Gene expression","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006308616,0.0008442123,0.0005392498,0.002035334,0.0002797598,0.0009100903,0.000831636,0.0008652416,0.01445858],"category_scores_gemma":[0.001935712,0.0003402864,0.0005384848,0.001145144,0.0002282828,0.0008988454,0.0009359684,0.0009486385,0.003664979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00029191,"about_ca_system_score_gemma":0.0005986893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009453669,"about_ca_topic_score_gemma":0.0005735056,"domain_scores_codex":[0.9997327,0.00005537309,0.00002049195,0.00007940093,0.00008231037,0.00002966764],"domain_scores_gemma":[0.999146,0.0003123148,0.0001214085,0.0001464636,0.0001933717,0.00008047549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002089256,0.0002239678,0.005569507,0.003868901,0.0002417205,0.001521759,0.001409417,0.0117164,0.5997658,0.01880708,0.06460924,0.290177],"study_design_scores_gemma":[0.00042181,0.0006460099,0.02034937,0.0008812209,0.0003096207,0.00360149,0.0009834584,0.1682606,0.4705131,0.02588168,0.3077646,0.0003870986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07833755,0.001568758,0.8118027,0.0009572421,0.0004050521,0.0002172461,0.01684773,0.08161362,0.00825009],"genre_scores_gemma":[0.2085558,0.001252505,0.7543561,0.0002952261,0.00006417088,0.0004478924,0.02206131,0.008396442,0.004570488],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01445858,"threshold_uncertainty_score":0.04836881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0435979460085297,"score_gpt":0.3038346240048962,"score_spread":0.2602366779963665,"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."}}