{"id":"W2737931494","doi":"10.1186/s12920-017-0279-9","title":"Secure approximation of edit distance on genomic data","year":2017,"lang":"en","type":"article","venue":"BMC Medical Genomics","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Zayed University","keywords":"Edit distance; Plaintext; Computer science; Similarity (geometry); String (physics); Set (abstract data type); Intersection (aeronautics); Metric (unit); Sequence (biology); Algorithm; Domain (mathematical analysis); Approximation algorithm; Theoretical computer science; Artificial intelligence; Mathematics; Encryption; Image (mathematics); Biology","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":[0.0005106101,0.0001296581,0.0001669638,0.00002168748,0.0001145689,0.00003070501,0.001447369,0.0001831537,0.00006233341],"category_scores_gemma":[0.0006042371,0.0001216013,0.00005108248,0.00001662895,0.0001768694,0.000005429528,0.0006951806,0.0001034074,0.00003393425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002184521,"about_ca_system_score_gemma":0.0003242098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009630128,"about_ca_topic_score_gemma":0.0001043164,"domain_scores_codex":[0.9988022,0.00003752267,0.0002522682,0.0004069848,0.0003024638,0.0001985382],"domain_scores_gemma":[0.9977087,0.00002101437,0.0002331065,0.001861629,0.00004066354,0.0001348941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001335746,0.001430043,0.04564323,0.001509243,0.000758615,0.00004064493,0.0005407024,0.0006259996,0.7392786,0.00888247,0.05532511,0.1446296],"study_design_scores_gemma":[0.007870466,0.001191987,0.06766063,0.0002848575,0.0002072852,0.00004805027,0.000324067,0.04089158,0.08658893,0.002122776,0.791104,0.001705435],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9290714,0.0007371784,0.06414726,0.0004111444,0.0008358856,0.000410979,0.0002895594,0.00001329685,0.004083258],"genre_scores_gemma":[0.9812599,0.0007879956,0.01435117,0.0001680028,0.00168133,0.00001423447,0.001098184,0.00004033144,0.0005988347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7357788,"threshold_uncertainty_score":0.4958759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03924657293843731,"score_gpt":0.2989500247440331,"score_spread":0.2597034518055958,"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."}}