{"id":"W2902333034","doi":"10.2144/btn-2018-0123","title":"Oxford Nanopore Sequencing Enables Rapid Discovery of Single-Domain Antibodies from Phage Display Libraries","year":2018,"lang":"en","type":"article","venue":"BioTechniques","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Panning (audio); Minion; Nanopore sequencing; Phage display; Computational biology; Biology; Single-domain antibody; Genomic library; Massive parallel sequencing; DNA sequencing; Genetics; Antibody Repertoire; Antibody; Gene; Base sequence","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":[0.0006031541,0.0003270588,0.0003753769,0.0004814744,0.0002425094,0.0005440463,0.0003273711,0.0003885018,0.001175416],"category_scores_gemma":[0.0008759346,0.0002877619,0.0002047629,0.0003393519,0.0002142451,0.0004349078,0.0006216345,0.0005959714,0.0005094801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002468711,"about_ca_system_score_gemma":0.0001991465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004809336,"about_ca_topic_score_gemma":0.001077033,"domain_scores_codex":[0.9994863,0.00008848675,0.0000465936,0.0001340337,0.0001891366,0.00005547762],"domain_scores_gemma":[0.9994503,0.0002724956,0.00005504202,0.00007707171,0.00007520181,0.00006997316],"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":[0.00009913712,0.00001800406,0.0007153318,0.00007912347,0.00001449204,0.00004121515,0.00005494984,0.0006216309,0.9820096,0.0005652359,0.0002276689,0.01555356],"study_design_scores_gemma":[0.00001474182,0.0001273724,0.003449624,0.00001624926,0.00001540099,0.0002388219,0.00002767434,0.0221891,0.9666336,0.0005966002,0.006667214,0.00002351941],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6262852,0.002074027,0.3600993,0.0002283533,0.00008495216,0.0001450676,0.002922759,0.003083467,0.005076941],"genre_scores_gemma":[0.6265704,0.001313732,0.3638839,0.0002379081,0.00002299633,0.0001922998,0.003889966,0.000260751,0.003628131],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001175416,"threshold_uncertainty_score":0.003932118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03840901377192063,"score_gpt":0.2949599369964711,"score_spread":0.2565509232245504,"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."}}