{"id":"W4390536315","doi":"10.2139/ssrn.4679236","title":"Development and Characterization of Monoclonal Antibodies Recognizing Nucleocapsid Protein of Multiple Sars-Cov-2 Variants","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Monoclonal antibody; Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Antibody; 2019-20 coronavirus outbreak; Coronavirus; Computational biology; Biology; Medicine; Immunology; Pathology; Infectious disease (medical specialty)","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":[0.0003743843,0.0006074665,0.000389227,0.0004195057,0.0001998953,0.0003919698,0.000521771,0.0004437376,0.0009613466],"category_scores_gemma":[0.0004739239,0.00029492,0.0004915236,0.0002581979,0.0001474302,0.0002368901,0.0002967881,0.0008698853,0.0005480883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004954788,"about_ca_system_score_gemma":0.0001969879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001013588,"about_ca_topic_score_gemma":0.001176848,"domain_scores_codex":[0.9997171,0.00003916725,0.00003179571,0.00006789836,0.00006894801,0.00007504705],"domain_scores_gemma":[0.9997289,0.00006950383,0.0000357279,0.00003959971,0.00008792739,0.00003833286],"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":[0.00005456576,0.00004909863,0.0001477476,0.00002049012,0.000008418608,0.00002857408,0.00001068786,0.00006889167,0.9980937,0.00005692049,0.00004113101,0.001419726],"study_design_scores_gemma":[0.00006980846,0.0007191227,0.004710124,0.000009270666,0.00008072808,0.0005204201,0.00003113889,0.001604622,0.9852424,0.00008502225,0.00691879,0.000008576728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705677,0.001943964,0.02311506,0.0001866671,0.0000985005,0.0003454682,0.0008720305,0.000119218,0.002751484],"genre_scores_gemma":[0.9575454,0.001595229,0.02847668,0.0003141027,0.00006199688,0.0002900642,0.00699502,0.00008010263,0.004641415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001013588,"threshold_uncertainty_score":0.003594995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488633916733267,"score_gpt":0.2929803605991379,"score_spread":0.2680940214318052,"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."}}