{"id":"W2429788321","doi":"10.1385/0-89603-375-9:309","title":"Epitope Mapping of Protein Antigens by Expression-PCR (E-PCR)","year":2003,"lang":"en","type":"article","venue":"Humana Press eBooks","topic":"Protein purification and stability","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"","keywords":"Epitope; Molecular biology; Linear epitope; Immunoprecipitation; Biology; Epitope mapping; Monoclonal antibody; Amino acid; FLAG-tag; Cloning (programming); Gene; Biochemistry; Antigen; Antibody; Fusion protein; Recombinant DNA; Genetics","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":[0.002006206,0.001370267,0.001118794,0.00135743,0.0003806048,0.0009609986,0.0009989919,0.0008868711,0.004696089],"category_scores_gemma":[0.001605172,0.0007139858,0.00092732,0.001318831,0.0009284131,0.001122573,0.001135935,0.002568485,0.01261245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002841902,"about_ca_system_score_gemma":0.0003022032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002287476,"about_ca_topic_score_gemma":0.0002424554,"domain_scores_codex":[0.9983566,0.0005571543,0.000164443,0.0003377988,0.000411055,0.000172818],"domain_scores_gemma":[0.998926,0.0005661341,0.0001338726,0.0001916883,0.000132847,0.00004938396],"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":[0.00009248426,0.00009070143,0.0001873039,0.000398734,0.00001563643,0.0001500495,0.00003941839,0.000179953,0.9761508,0.0008257443,0.0008518738,0.02101742],"study_design_scores_gemma":[0.00003285745,0.0002935425,0.0008924244,0.00006096242,0.00004046055,0.0008083104,0.00004280195,0.00149484,0.95235,0.0006937881,0.04326727,0.00002284428],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04448397,0.008370862,0.9341508,0.0004417649,0.0003676816,0.0008779141,0.001415912,0.001664425,0.008226581],"genre_scores_gemma":[0.1372439,0.02067131,0.8113422,0.000722339,0.0002199751,0.001253186,0.007327063,0.001101061,0.02011887],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004696089,"threshold_uncertainty_score":0.01571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03428841126700028,"score_gpt":0.2579612031669229,"score_spread":0.2236727918999227,"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."}}