{"id":"W4380225187","doi":"10.1101/pdb.top107768","title":"Beyond Natural Immune Repertoires: Synthetic Antibodies","year":2023,"lang":"en","type":"article","venue":"Cold Spring Harbor Protocols","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; D2L (Canada)","funders":"","keywords":"Antibody; Synthetic biology; Computational biology; Computer science; Biology; Immunology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001061319,0.0004929376,0.0003942513,0.0005683432,0.0002723815,0.0009739372,0.0005503317,0.0006107285,0.002469614],"category_scores_gemma":[0.0008972581,0.0003233637,0.00031756,0.0004051234,0.0005743768,0.0009358556,0.0006914677,0.001451516,0.001609353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004527004,"about_ca_system_score_gemma":0.0004391719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001901414,"about_ca_topic_score_gemma":0.0004260779,"domain_scores_codex":[0.9992642,0.0002302149,0.0000519515,0.0001097303,0.0002561445,0.00008780434],"domain_scores_gemma":[0.9997107,0.0001151615,0.00003867254,0.00003532493,0.0000516261,0.00004844174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001872087,0.0001470684,0.0004531577,0.001725584,0.00004631329,0.0002101952,0.0001886878,0.002454881,0.8136644,0.05961371,0.005744748,0.115564],"study_design_scores_gemma":[0.00006957305,0.0009120448,0.0004729645,0.00021021,0.00004869638,0.0009088786,0.00007012059,0.004252863,0.6521676,0.01613222,0.3247038,0.00005108826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1167893,0.08575098,0.7226469,0.003415443,0.001245038,0.0007270567,0.001803035,0.002543252,0.06507907],"genre_scores_gemma":[0.4733655,0.07779364,0.4053977,0.004739475,0.0004535097,0.001233513,0.002978842,0.0004762107,0.03356171],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.002469614,"threshold_uncertainty_score":0.00826174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03006831474196913,"score_gpt":0.3359476822773369,"score_spread":0.3058793675353678,"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."}}