{"id":"W4213304877","doi":"10.1007/978-1-0716-2075-5_14","title":"Humanization of Camelid Single-Domain Antibodies","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; National Research Council Canada","funders":"","keywords":"Single-domain antibody; Prioritization; Immunogenicity; Complementarity (molecular biology); Computational biology; Computer science; Antibody; Domain (mathematical analysis); Monoclonal antibody; Complementarity determining region; Biology; Engineering; Immunology; Genetics; Mathematics; Management science","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":[0.001016027,0.00009641982,0.0003267623,0.0002655823,0.00006642142,0.000002282913,0.0001304835,0.00005687486,0.0004103743],"category_scores_gemma":[0.0002473535,0.00008626518,0.00008586964,0.0003637476,0.0001760365,0.000008643266,0.0002557042,0.0002545345,0.000002256069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000539154,"about_ca_system_score_gemma":0.00005224859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001072775,"about_ca_topic_score_gemma":0.000005234062,"domain_scores_codex":[0.9979582,0.001150024,0.0002880304,0.000225606,0.0001488505,0.0002292756],"domain_scores_gemma":[0.9994778,0.0001556204,0.00007175293,0.0001922842,0.00006226781,0.00004027688],"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":[0.0001594798,0.000167053,0.02610097,0.00004835721,0.00003816576,0.0000803135,0.0002134529,0.00003248912,0.9497048,0.01387403,0.0000442745,0.009536652],"study_design_scores_gemma":[0.001613772,0.002581859,0.01155325,0.00003701765,0.00004002536,0.000267637,0.0006952545,0.0004019621,0.8813807,0.03529172,0.06583729,0.0002994694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7262422,0.00216513,0.2631621,0.001143916,0.0001885415,0.0003194986,0.00002381388,0.00002055391,0.006734185],"genre_scores_gemma":[0.2168144,0.00006592162,0.7815365,0.0006632971,0.00004178681,0.00003815127,0.0001149663,0.000022636,0.000702342],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5183744,"threshold_uncertainty_score":0.449331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04767506697101619,"score_gpt":0.4382036851410437,"score_spread":0.3905286181700275,"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."}}