{"id":"W1968923417","doi":"10.1002/jmr.682","title":"Synthetic peptide vaccine development: measurement of polyclonal antibody affinity and cross‐reactivity using a new peptide capture and release system for surface plasmon resonance spectroscopy","year":2004,"lang":"en","type":"article","venue":"Journal of Molecular Recognition","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; University of Alberta","keywords":"Surface plasmon resonance; Polyclonal antibodies; Keyhole limpet hemocyanin; Chemistry; Biosensor; Epitope; Peptide; Pilin; Dissociation constant; Epitope mapping; Antibody; Biophysics; Biochemistry; Materials science; Pilus; Biology; Receptor; Nanoparticle; Nanotechnology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008587299,0.0002196729,0.0005349568,0.000160053,0.0001345031,0.00003847351,0.00006797074,0.0001115907,0.000006111212],"category_scores_gemma":[0.000284828,0.0001845982,0.0001457659,0.0001371474,0.00007066094,0.0001583639,0.00004114033,0.0003371112,0.000001204423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002737179,"about_ca_system_score_gemma":0.0006653324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000267544,"about_ca_topic_score_gemma":0.00003804834,"domain_scores_codex":[0.9980085,0.00008036535,0.0006050661,0.0002536615,0.0007619339,0.0002904423],"domain_scores_gemma":[0.9983817,0.00008375706,0.0004626108,0.000110084,0.0006534382,0.0003083752],"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":[0.005322734,0.0002447558,0.005358764,0.0009834331,0.0001982317,0.0002662011,0.0001975567,0.0000959319,0.9822571,0.00002641559,0.00002249553,0.005026433],"study_design_scores_gemma":[0.005461469,0.0008463159,0.04032702,0.003576892,0.0002723113,0.002932337,0.000153461,0.0002006283,0.9453595,0.0003231777,0.0003202806,0.0002266223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884905,0.003768267,0.006691467,0.000417441,0.00007538535,0.0004225447,0.00003001367,0.000008960515,0.00009542568],"genre_scores_gemma":[0.9666982,0.0002950189,0.03279828,0.00004170619,0.00009528055,0.000001857294,0.00001454243,0.00002672047,0.00002839459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03689757,"threshold_uncertainty_score":0.7527694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03688774241414268,"score_gpt":0.3113047985463974,"score_spread":0.2744170561322547,"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."}}