{"id":"W2898719454","doi":"10.1109/embc.2018.8512873","title":"Evaluation of Dynamic Time Warp Barycenter Averaging (DBA) for its Potential in Generating a Consensus Nanopore Signal for Genetic and Epigenetic Sequences","year":2018,"lang":"en","type":"article","venue":"","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Epigenetics; Nanopore sequencing; Nanopore; SIGNAL (programming language); Computer science; DNA sequencing; Computational biology; Sequence (biology); Biology; DNA; Algorithm; Genetics; Gene; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001275599,0.0006344815,0.0004128991,0.0006267298,0.0003622142,0.0006296083,0.0004705301,0.0004908083,0.001284697],"category_scores_gemma":[0.004336669,0.0001443402,0.0003338681,0.0005706488,0.0004833218,0.0007646832,0.0004154128,0.0005371873,0.0002079656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006250568,"about_ca_system_score_gemma":0.0006507839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003157815,"about_ca_topic_score_gemma":0.002510048,"domain_scores_codex":[0.9995613,0.00009603521,0.00002974065,0.0000727688,0.0002006547,0.00003948365],"domain_scores_gemma":[0.9979076,0.001219877,0.0001291691,0.000148711,0.0005022548,0.00009237218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001170473,0.0002737504,0.002805985,0.0003923354,0.0001271975,0.0003257357,0.0002255576,0.5017035,0.26604,0.01085924,0.001207832,0.2148684],"study_design_scores_gemma":[0.000006161142,0.0001644433,0.0005312171,0.000004713741,0.000009163473,0.00005926319,0.00002885303,0.9500383,0.04781526,0.0008629719,0.0004609314,0.00001871781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3418458,0.0007107803,0.6517613,0.0002649236,0.0001462731,0.0001278079,0.000182875,0.0008926885,0.004067632],"genre_scores_gemma":[0.7906489,0.000243708,0.207575,0.00004668317,0.00001848362,0.00006669038,0.0002262907,0.0001061473,0.001068142],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003157815,"threshold_uncertainty_score":0.006746113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01861667875967338,"score_gpt":0.2534469880427491,"score_spread":0.2348303092830757,"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."}}