{"id":"W4386494396","doi":"10.1007/978-1-0716-3381-6_26","title":"Applications of High-Throughput DNA Sequencing to Single-Domain Antibody Discovery and Engineering","year":2023,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Natural Sciences and Engineering Research Council of Canada; National Research Council Canada","funders":"National Research Council Canada","keywords":"Panning (audio); Computational biology; Amplicon; Phage display; DNA sequencing; Biology; Single-domain antibody; DNA; Antibody; Genetics; Polymerase chain reaction; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002486842,0.0006156716,0.000797382,0.001002506,0.0005811221,0.001239385,0.0008967949,0.000781407,0.001251397],"category_scores_gemma":[0.00286345,0.0005333524,0.0005818629,0.0008586097,0.000683748,0.0007267341,0.0007254118,0.001473236,0.0006631362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007370713,"about_ca_system_score_gemma":0.0009768165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001147793,"about_ca_topic_score_gemma":0.002275946,"domain_scores_codex":[0.9986306,0.0005422492,0.00005518381,0.0001719545,0.0005260829,0.00007390961],"domain_scores_gemma":[0.9978026,0.001374058,0.0001432207,0.0002376286,0.0003222816,0.0001203553],"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":[0.0002128008,0.0001232473,0.0007453234,0.0002880103,0.00006880462,0.00004896205,0.00008783584,0.003839243,0.927545,0.004813599,0.0007174202,0.06150979],"study_design_scores_gemma":[0.00005445592,0.0003649276,0.001680645,0.00004139372,0.00005906406,0.00027566,0.00006357909,0.06840963,0.9103785,0.008680888,0.00994473,0.0000464743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1074949,0.006480448,0.87864,0.0008758735,0.0002943669,0.0002994636,0.0006006532,0.001688802,0.003625485],"genre_scores_gemma":[0.355658,0.007054245,0.6320817,0.0005289321,0.0001114671,0.0004027969,0.000884358,0.0001818399,0.003096751],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002486842,"threshold_uncertainty_score":0.01315182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03429509245631678,"score_gpt":0.4210975884154159,"score_spread":0.3868024959590992,"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."}}