{"id":"W2979367658","doi":"10.1109/embc.2019.8856460","title":"Evaluating the Accuracy of Consensus Nanosequencer Squiggles Generated by Dynamic Time Warp Barycentre Averaging (DBA)","year":2019,"lang":"en","type":"article","venue":"","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Computer science","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":[0.003154697,0.0004494555,0.0003196839,0.0009027464,0.0003700781,0.0006859053,0.0005781815,0.0006456687,0.0005384365],"category_scores_gemma":[0.01195961,0.0002070112,0.0002585381,0.0006293626,0.0005008737,0.0006643593,0.0005298001,0.000471006,0.0001530041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004984974,"about_ca_system_score_gemma":0.0003269036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002863932,"about_ca_topic_score_gemma":0.003764117,"domain_scores_codex":[0.9987798,0.0001819035,0.0001289077,0.0002784845,0.0005168283,0.0001140069],"domain_scores_gemma":[0.994089,0.002934953,0.0007196645,0.0005510796,0.00149564,0.0002096539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00176894,0.0001862098,0.01633008,0.000395132,0.0001799418,0.0002804119,0.0006627093,0.04540956,0.8320229,0.001144696,0.0004257124,0.1011936],"study_design_scores_gemma":[0.00001910832,0.0009311231,0.01932778,0.0000224722,0.00007035892,0.0003388982,0.0002370539,0.25899,0.7187828,0.0004810554,0.000711643,0.00008774977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447571,0.000581317,0.05274782,0.00007651648,0.00005802007,0.00004211243,0.0001009416,0.0004131919,0.001222994],"genre_scores_gemma":[0.9671139,0.0001435895,0.0319902,0.00002262303,0.000006575959,0.00001707656,0.0001534998,0.00006879197,0.0004837686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003154697,"threshold_uncertainty_score":0.01668382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432910491019272,"score_gpt":0.2626217552851262,"score_spread":0.2482926503749334,"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."}}