{"id":"W4409799210","doi":"10.1038/s44298-025-00116-x","title":"Potent neutralising monoclonal antibodies targeting the spike of NL63 coronavirus","year":2025,"lang":"en","type":"article","venue":"npj Viruses","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval; Centre hospitalier universitaire de Québec","funders":"National Health and Medical Research Council; Medical Research Council","keywords":"Monoclonal antibody; Spike (software development); Virology; Coronavirus; Antibody; Spike Protein; Coronavirus disease 2019 (COVID-19); Biology; Medicine; Immunology; Computer science; 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":[0.0005148791,0.0003950011,0.0002701171,0.0001957303,0.0001357383,0.0002796887,0.0001981496,0.0003581487,0.001020821],"category_scores_gemma":[0.0004459218,0.0001281502,0.000196888,0.0001150121,0.0001457194,0.0001801233,0.0002134245,0.0004663343,0.0001958683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002509749,"about_ca_system_score_gemma":0.0001326381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007022645,"about_ca_topic_score_gemma":0.001279196,"domain_scores_codex":[0.9997057,0.00005874461,0.00002389224,0.00005175958,0.00008021285,0.0000797395],"domain_scores_gemma":[0.9998192,0.00006040602,0.00001778588,0.00001707224,0.00005645019,0.00002909351],"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":[0.000187664,0.0001568948,0.002395999,0.00006704596,0.00002034384,0.0001153242,0.00009932488,0.000179755,0.9829261,0.00007340358,0.0002638692,0.01351415],"study_design_scores_gemma":[0.0005097119,0.01563189,0.07722722,0.0001146987,0.0001892596,0.004694549,0.0002627852,0.005056148,0.8714637,0.0003912607,0.02442477,0.00003402434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924235,0.001832645,0.002756619,0.00009367587,0.00002721051,0.000133612,0.000151268,0.00004716234,0.002534183],"genre_scores_gemma":[0.9950457,0.0006620171,0.002268126,0.0002117557,0.00003583575,0.00005493706,0.0004451721,0.000008573227,0.001267929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001020821,"threshold_uncertainty_score":0.003414989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08297973459982895,"score_gpt":0.400342168418213,"score_spread":0.317362433818384,"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."}}