{"id":"W2141471986","doi":"10.1006/viro.2000.0310","title":"Characterization of Murine Coronavirus Neutralization Epitopes with Phage-Displayed Peptides","year":2000,"lang":"en","type":"article","venue":"Virology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; Armand Frappier Museum; Institut National de la Recherche Scientifique","funders":"Army Research Office; National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; Medical Research Council Canada","keywords":"Epitope; Biology; Phage display; Virology; Monoclonal antibody; Peptide library; Neutralization; Glycoprotein; Molecular biology; Bacteriophage; Epitope mapping; Peptide; Antibody; Peptide sequence; Linear epitope; Coronavirus; Protein subunit; Virus; Conformational epitope; Gene; Biochemistry; Escherichia coli; Coronavirus disease 2019 (COVID-19); Genetics","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":[0.0002453632,0.0004044636,0.0002039315,0.0001926653,0.0002223063,0.0003445783,0.0002488391,0.0003626321,0.0008651139],"category_scores_gemma":[0.0003074035,0.000173163,0.0003811685,0.0001641712,0.0001478255,0.0002271826,0.0002044398,0.000636113,0.0002788013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002643865,"about_ca_system_score_gemma":0.0001301157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004479749,"about_ca_topic_score_gemma":0.0005058817,"domain_scores_codex":[0.9998775,0.00002165188,0.000007068151,0.0000204691,0.0000264496,0.00004688816],"domain_scores_gemma":[0.9998108,0.00007757203,0.00002481445,0.00001806526,0.00003521117,0.00003363824],"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":[0.0001280872,0.00003213441,0.0001477205,0.00001927332,0.000004289632,0.00003882635,0.00001658508,0.00008943965,0.9988942,0.0000590096,0.00001441968,0.000556052],"study_design_scores_gemma":[0.00004085662,0.0005284096,0.005586269,0.00001282649,0.00002600682,0.000368679,0.00003847454,0.001703125,0.989812,0.00007534947,0.001801529,0.000006617869],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958795,0.0003149329,0.002905696,0.000028128,0.00001221967,0.00001897206,0.0001092146,0.00001253572,0.0007187594],"genre_scores_gemma":[0.9942535,0.0004324539,0.00269102,0.00008146899,0.00001393278,0.00003449946,0.0008982797,0.00001661976,0.001578231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008651139,"threshold_uncertainty_score":0.002894044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035520235194154,"score_gpt":0.2958661969804278,"score_spread":0.2755109946284862,"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."}}