{"id":"W2750810001","doi":"10.1002/cbic.201700279","title":"A Single‐Framework Synthetic Antibody Library Containing a Combination of Canonical and Variable Complementarity‐Determining Regions","year":2017,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatoon Medical Imaging; University of Saskatchewan","funders":"Western Economic Diversification Canada","keywords":"Complementarity determining region; Antibody; Peptide library; Phage display; Complementarity (molecular biology); Computational biology; Immunoglobulin Fab Fragments; Affinity maturation; Aptamer; Molecular biology; Chemistry; Human Epidermal Growth Factor Receptor 2; Fragment crystallizable region; Biology; Immunoglobulin light chain; Genetics; Peptide sequence; Gene; Cancer","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001646843,0.0001360488,0.0003567406,0.00006243761,0.0003098419,0.00008352507,0.000194295,0.0001066702,0.0001306143],"category_scores_gemma":[0.0003600502,0.0001233126,0.00006596366,0.00006265137,0.0004041847,0.0001455056,0.0003164019,0.0002579213,0.000003633295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002345179,"about_ca_system_score_gemma":0.0001346355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001574284,"about_ca_topic_score_gemma":0.000003269501,"domain_scores_codex":[0.9989334,0.0000255525,0.0002631992,0.0002631278,0.0002400426,0.0002746358],"domain_scores_gemma":[0.9989191,0.0002456727,0.0001644521,0.0004304582,0.00006577466,0.0001744865],"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":[0.001167779,0.001087483,0.3106646,0.001257611,0.0003499745,0.0001903149,0.00108205,2.449671e-7,0.5718716,0.1028922,0.001498904,0.007937316],"study_design_scores_gemma":[0.002996267,0.001526892,0.09553947,0.002613136,0.0001845683,0.0003285733,0.0005393521,0.001327651,0.8757239,0.006197961,0.01261739,0.0004048448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743049,0.0002782701,0.0001773011,0.003271338,0.00006302755,0.0002172166,0.00002225608,0.00003972952,0.02162602],"genre_scores_gemma":[0.9926051,0.00007611555,0.006013729,0.0002266594,0.00009068158,0.000008742977,0.00008139072,0.0000200884,0.0008774791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3038523,"threshold_uncertainty_score":0.5028542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05574306597909458,"score_gpt":0.3545703334860205,"score_spread":0.298827267506926,"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."}}