{"id":"W4408732345","doi":"10.1016/j.virol.2025.110512","title":"Multiple exposures to SARS-CoV-2 Spike enhance cross-reactive antibody-dependent cellular cytotoxicity against SARS-CoV-1","year":2025,"lang":"en","type":"article","venue":"Virology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity; Héma-Québec; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Canada Foundation for Innovation; Mitacs; Fondation du CHUM","keywords":"Biology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Cytotoxicity; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Virology; Spike (software development); Sars virus; Antibody; Spike Protein; Immunology; Genetics; In vitro; Infectious disease (medical specialty); Disease; Outbreak; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007311273,0.0005491506,0.001030661,0.0007143129,0.0002869658,0.00009525533,0.0006880503,0.0006089964,0.00001166019],"category_scores_gemma":[0.001002504,0.0005204365,0.0003146979,0.0007809107,0.0004955413,0.000181021,0.0005500305,0.0009723032,0.0008710289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003622096,"about_ca_system_score_gemma":0.0004893767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001089099,"about_ca_topic_score_gemma":0.0006991671,"domain_scores_codex":[0.9957159,0.0002783984,0.0007488983,0.001340498,0.0006544446,0.001261855],"domain_scores_gemma":[0.9977247,0.0004290318,0.000166329,0.001248251,0.0003523129,0.0000793427],"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":[0.002072923,0.0006330789,0.06392315,0.0001376413,0.000219932,0.0008266385,0.0003740403,0.000002825788,0.929117,0.0001708725,0.001093678,0.001428224],"study_design_scores_gemma":[0.002640864,0.0007642903,0.03654462,0.00008084908,0.00005948713,0.00003216678,0.00006143448,0.0002968401,0.9087309,0.0002846046,0.05013087,0.0003730982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825031,0.0005146949,0.005907814,0.0009814298,0.0006467687,0.001448818,0.00005726281,0.000239255,0.007700887],"genre_scores_gemma":[0.9013454,0.00001321028,0.0003113511,0.09755611,0.000285603,0.0001919587,0.0000245884,0.00006405237,0.0002077057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09657469,"threshold_uncertainty_score":0.9999069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03320317100372108,"score_gpt":0.3850320323705398,"score_spread":0.3518288613668187,"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."}}