{"id":"W2166811939","doi":"10.1016/j.ymeth.2012.07.006","title":"Deep sequencing analysis of phage libraries using Illumina platform","year":2012,"lang":"en","type":"article","venue":"Methods","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":132,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Glycomics Centre; University of Alberta","funders":"","keywords":"Illumina dye sequencing; Sanger sequencing; DNA sequencing; Deep sequencing; Biology; Computational biology; Massive parallel sequencing; Genomic library; Genetics; Phage display; Bacteriophage; Sequence analysis; DNA; Genome; Gene; Base sequence; Escherichia coli","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001153466,0.0001195053,0.0005086698,0.0004047063,0.00008144342,0.00001129725,0.00009233363,0.00007657729,0.0008859787],"category_scores_gemma":[0.0002309146,0.00008914613,0.0002581482,0.001004091,0.0001634028,0.000228222,0.00009974388,0.000170591,0.000006928863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006095159,"about_ca_system_score_gemma":0.00007834304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002974588,"about_ca_topic_score_gemma":0.000005275896,"domain_scores_codex":[0.9987649,0.000143812,0.0002851513,0.0001369248,0.0002905547,0.0003786572],"domain_scores_gemma":[0.9990053,0.0004082051,0.00008380075,0.0002301534,0.0000704682,0.0002020632],"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":[0.0005150544,0.0002338346,0.3264543,0.0005423059,0.004462537,0.00005141084,0.007837512,0.0002700332,0.4737203,0.008246874,0.00008823034,0.1775776],"study_design_scores_gemma":[0.0007780861,0.00026821,0.1885619,0.0001116751,0.005147862,0.0001415339,0.002531855,0.18714,0.5974128,0.0007754948,0.0166654,0.0004651721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8895259,0.003116158,0.09772532,0.00007579532,0.0001089803,0.0001080602,0.000007286182,0.00002345525,0.009308972],"genre_scores_gemma":[0.4781511,0.00004374089,0.5203961,0.0001243957,0.0001670182,0.000002638702,0.00001962133,0.00001278798,0.001082561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4226708,"threshold_uncertainty_score":0.9700845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1890260333822755,"score_gpt":0.4653201822089304,"score_spread":0.2762941488266549,"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."}}