{"id":"W2166015022","doi":"10.1128/iai.00494-07","title":"Construction and Characterization of Single-Chain Variable Fragment Antibodies Directed against the <i>Bordetella pertussis</i> Surface Adhesins Filamentous Hemagglutinin and Pertactin","year":2007,"lang":"en","type":"article","venue":"Infection and Immunity","topic":"Bacterial Infections and Vaccines","field":"Immunology and Microbiology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Izaak Walton Killam Health Centre; Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Filamentous haemagglutinin adhesin; Bordetella pertussis; Biology; Biopanning; Pertactin; Phage display; Hemagglutinin (influenza); Molecular biology; Antibody; Peptide library; Microbiology; Virology; Peptide sequence; Pertussis toxin; Biochemistry; Gene; Genetics; G protein; Bacteria; Receptor","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":[0.0001649478,0.0003370609,0.0004763649,0.0003275075,0.0001271647,0.0003126614,0.0003561659,0.0002126962,0.0006985103],"category_scores_gemma":[0.0002123007,0.000211964,0.0003591538,0.0003985893,0.00009594227,0.0001282551,0.0002647192,0.0004812606,0.0004965002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002539077,"about_ca_system_score_gemma":0.000140842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007756504,"about_ca_topic_score_gemma":0.0007342442,"domain_scores_codex":[0.9998267,0.00002081231,0.00001373329,0.00002568864,0.00006339866,0.0000497008],"domain_scores_gemma":[0.9999,0.0000153142,0.00001906538,0.00001105842,0.00002360919,0.00003091318],"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":[0.00003007026,0.00004435547,0.000444773,0.00002302109,0.000005590284,0.00004185969,0.00001645805,0.0000706791,0.9972411,0.00003729041,0.00003965351,0.002005181],"study_design_scores_gemma":[0.00002757351,0.0005190556,0.01711785,0.00001369578,0.00006238655,0.0006363731,0.00006387611,0.002259334,0.9727136,0.00004414268,0.006531819,0.00001023288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888066,0.0004809088,0.008765387,0.00006795909,0.000017683,0.0001180826,0.0006087866,0.00005824146,0.001076437],"genre_scores_gemma":[0.9651585,0.001137092,0.022257,0.0001794495,0.00001886151,0.0001550586,0.006447786,0.00006581192,0.004580492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007756504,"threshold_uncertainty_score":0.00233674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176286338955389,"score_gpt":0.2242141761854717,"score_spread":0.2124513127959178,"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."}}