{"id":"W4381433002","doi":"10.2196/46898","title":"Application of Machine Learning Prediction of Individual SARS-CoV-2 Vaccination and Infection Status to the French Serosurveillance Survey From March 2020 to 2022: Cross-Sectional Study","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fondation de France; Agence Nationale de la Recherche","keywords":"Vaccination; Seroprevalence; Serology; Medicine; Demography; Population; Cohort; Epidemiology; Herd immunity; Immunology; Environmental health; Internal medicine; Antibody","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":[0.004886428,0.0008623633,0.000701758,0.001300443,0.0002838633,0.0007259806,0.0006347951,0.0008278026,0.0007482041],"category_scores_gemma":[0.00581179,0.0003005482,0.001405551,0.0005309375,0.0002158407,0.0003339142,0.0003882095,0.0005142133,0.0001988258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00132721,"about_ca_system_score_gemma":0.0009873972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06487753,"about_ca_topic_score_gemma":0.02129459,"domain_scores_codex":[0.9989824,0.0006045577,0.0000434137,0.0002076535,0.00005525339,0.0001067228],"domain_scores_gemma":[0.9965796,0.002304283,0.0003460977,0.000230869,0.0003648943,0.0001743908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005714932,0.0003087394,0.7357021,0.00003166376,0.0007072043,0.0002476654,0.0001011968,0.2408813,0.0004576072,0.0001306791,0.0006750437,0.02018516],"study_design_scores_gemma":[0.00002183883,0.0003208811,0.1348557,0.00001416322,0.0001057408,0.00008602913,0.0000634719,0.8638628,0.0002450069,0.0001738449,0.0002336131,0.00001695625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942493,0.0001920938,0.004612469,0.0001580533,0.0000210933,0.00002066741,0.0004271934,0.0000634941,0.0002556281],"genre_scores_gemma":[0.9980387,0.00005062175,0.001167891,0.00001810515,0.000009710361,0.00001441159,0.0005791944,0.000002710397,0.000118613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06487753,"threshold_uncertainty_score":0.1289998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06612964753185459,"score_gpt":0.3925793016673138,"score_spread":0.3264496541354592,"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."}}