{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002943686,0.0004683995,0.0003683564,0.0004865294,0.000203312,0.0004166105,0.0004185983,0.0002475744,0.001152716],"category_scores_gemma":[0.0002466838,0.0002136611,0.000272179,0.0005348598,0.0001730946,0.0001450397,0.0003380465,0.0003114898,0.000449363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003977271,"about_ca_system_score_gemma":0.0003159748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004946765,"about_ca_topic_score_gemma":0.0008196328,"domain_scores_codex":[0.9996696,0.00004873105,0.00001952711,0.00007500027,0.0001117505,0.00007541008],"domain_scores_gemma":[0.9998711,0.00002615558,0.00002159605,0.00002016939,0.00003204606,0.00002892895],"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":[0.00007674303,0.00004756829,0.0003028592,0.00002936226,0.00001120938,0.00003598846,0.00001107407,0.0007276229,0.994137,0.000114917,0.00006976712,0.004435658],"study_design_scores_gemma":[0.00003724161,0.0008162369,0.001650026,0.00000734193,0.00004901965,0.0003014042,0.00001664027,0.005286615,0.9875471,0.00007444846,0.004201255,0.0000128173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641218,0.0005539746,0.03134302,0.0000503073,0.00002924263,0.0002251639,0.0008362051,0.0003955291,0.002444894],"genre_scores_gemma":[0.9613753,0.0004149904,0.03333016,0.00009193666,0.00001361691,0.0001403999,0.002193181,0.00005974901,0.002380519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001152716,"threshold_uncertainty_score":0.003856242,"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."}}