{"id":"W4409656571","doi":"10.2196/59467","title":"CoVimmune COVID-19 Immunity Calculator: Web Application Development and Validation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases","keywords":"Titer; Vaccination; Antibody; Medicine; Immunology; Population; Coronavirus disease 2019 (COVID-19); Computer science; Internal medicine; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004762365,0.001033603,0.0004909419,0.0012561,0.0003041855,0.00105641,0.001731125,0.0008083901,0.003292709],"category_scores_gemma":[0.009072704,0.0003272937,0.000698982,0.0008338654,0.0002951158,0.0005863352,0.001024954,0.0009710038,0.002390258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005295653,"about_ca_system_score_gemma":0.001305707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004064836,"about_ca_topic_score_gemma":0.003051384,"domain_scores_codex":[0.998024,0.0006462191,0.0002018769,0.0004293432,0.0005673773,0.0001312448],"domain_scores_gemma":[0.9960531,0.001868136,0.0002462943,0.0005077809,0.001151633,0.000173096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006164664,0.01118843,0.2046994,0.002637883,0.001373713,0.001992803,0.0008753189,0.0896109,0.04324291,0.0044794,0.1250355,0.5086991],"study_design_scores_gemma":[0.002118898,0.005343849,0.1511663,0.0004193059,0.0003326068,0.001598695,0.0003430565,0.6967916,0.05686295,0.001772172,0.08306756,0.0001828951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8191354,0.001117664,0.0944723,0.0005725157,0.0003037469,0.003651245,0.02512502,0.04571104,0.009911028],"genre_scores_gemma":[0.7207633,0.0006815561,0.1856446,0.0007418643,0.00009511661,0.004017119,0.07951737,0.001967775,0.006571291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004762365,"threshold_uncertainty_score":0.02518612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08998394071576513,"score_gpt":0.4765604526627603,"score_spread":0.3865765119469952,"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."}}