{"id":"W2064580486","doi":"10.1081/ias-200041153","title":"Development of a PAN-Specific, Affinity-Purified Anti-acetylated Lysine Antibody for Detection, Identification, Isolation, and Intracellular Localization of Acetylated Protein","year":2005,"lang":"en","type":"article","venue":"Journal of Immunoassay and Immunochemistry","topic":"Peptidase Inhibition and Analysis","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Vancouver Coastal Health Research Institute; Vancouver Coastal Health; ImmuneChem (Canada); Arbutus Biopharma (Canada)","funders":"","keywords":"Acetylation; Immunogen; Lysine; Polyclonal antibodies; Biochemistry; Antibody; Affinity chromatography; Chemistry; Hemocyanin; Residue (chemistry); Molecular biology; Biology; Monoclonal antibody; Amino acid; Enzyme; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000788275,0.0001731691,0.0005182504,0.0002062141,0.0001524835,0.00003097904,0.00007829822,0.000172173,0.0000494677],"category_scores_gemma":[0.000200158,0.000158453,0.0001336157,0.0003618587,0.0001328108,0.0002151076,0.000024877,0.0002021898,7.420572e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005725236,"about_ca_system_score_gemma":0.0001494966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002862436,"about_ca_topic_score_gemma":6.703028e-7,"domain_scores_codex":[0.9979053,0.00004033734,0.001485886,0.0001700066,0.0002586117,0.0001399055],"domain_scores_gemma":[0.997101,0.00003971229,0.001254812,0.000202393,0.001335345,0.00006673056],"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":[0.0004663108,0.000307197,0.0002365066,0.0003404099,0.0003600978,0.000001315755,0.0005235048,0.00002656517,0.990097,0.00001001014,0.00003306648,0.007597976],"study_design_scores_gemma":[0.002649572,0.0001066317,0.002852012,0.0008267974,0.0001550792,0.000120187,0.0005975274,0.001124219,0.9897745,0.00001905995,0.001634711,0.0001396893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9273333,0.002623748,0.06953967,0.0002149595,0.00002013516,0.0002269225,0.000008879305,0.00001107351,0.00002132984],"genre_scores_gemma":[0.993093,0.0006385848,0.005885911,0.00001493964,0.00006472372,0.000005894354,0.0001198898,0.00001683044,0.0001601932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06575976,"threshold_uncertainty_score":0.6461527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009875457147307603,"score_gpt":0.2567733237031134,"score_spread":0.2468978665558058,"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."}}