{"id":"W2922427087","doi":"10.1093/nar/gkz131","title":"Next-generation sequencing-guided identification and reconstruction of antibody CDR combinations from phage selection outputs","year":2019,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Western Economic Diversification Canada","keywords":"Sanger sequencing; Biology; Phage display; DNA sequencing; Computational biology; Amplicon; Selection (genetic algorithm); Genomic library; Deep sequencing; Genetics; Antibody; Molecular biology; Polymerase chain reaction; DNA; Gene; Genome; Base sequence; Computer science","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":[0.0008615752,0.0005401027,0.0005143635,0.0006163477,0.0002704273,0.0005650487,0.0003409323,0.000422494,0.0008514727],"category_scores_gemma":[0.001301392,0.0002554076,0.0004023262,0.0004108648,0.0002638429,0.0002931553,0.0005756801,0.0007060516,0.0007232743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003153533,"about_ca_system_score_gemma":0.0004573037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006083057,"about_ca_topic_score_gemma":0.001086556,"domain_scores_codex":[0.9994931,0.00008864479,0.00003264607,0.0001134982,0.0002011311,0.00007095352],"domain_scores_gemma":[0.9995701,0.0001612423,0.00006430644,0.00006960973,0.00009561414,0.0000391029],"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":[0.0000646885,0.00001498054,0.0006876557,0.00004655465,0.000009687082,0.00009719734,0.00006228097,0.001369857,0.9839451,0.0002605645,0.00009054244,0.01335089],"study_design_scores_gemma":[0.00000926231,0.0000639938,0.001604117,0.000009679271,0.0000163023,0.0002199845,0.00002681424,0.01748355,0.9769186,0.0002317783,0.003404284,0.00001152173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5051618,0.0008184985,0.487862,0.0001080322,0.00004040927,0.0002460331,0.0009934074,0.001986889,0.00278295],"genre_scores_gemma":[0.6155997,0.0009351889,0.3753137,0.0001971463,0.00001371495,0.0002994688,0.00271999,0.00052812,0.004392971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008615752,"threshold_uncertainty_score":0.004556477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1338291636260014,"score_gpt":0.3877125752968901,"score_spread":0.2538834116708887,"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."}}