{"id":"W4411962233","doi":"10.1016/j.landig.2025.100886","title":"Development of machine learning prediction models for systemic inflammatory response following controlled exposure to a live attenuated influenza vaccine in healthy adults using multimodal wearable biosensors in Canada: a single-centre, prospective controlled trial","year":2025,"lang":"en","type":"article","venue":"The Lancet Digital Health","topic":"Respiratory viral infections research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Children's Hospital; Université de Montréal; McGill University Health Centre; McGill University","funders":"Canadian Institutes of Health Research; McGill University Health Centre; Canada Research Chairs; McGill University","keywords":"Medicine; Asymptomatic; Prospective cohort study; Subclinical infection; Biomarker; Immunology; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002896327,0.0002769264,0.00176394,0.0006644487,0.0002204974,0.00004515141,0.0001450029,0.0001047674,0.000001562745],"category_scores_gemma":[0.002536505,0.000211208,0.0001310719,0.0009260256,0.00002309454,0.0002359983,0.00006348112,0.0005190917,0.000001223029],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00481174,"about_ca_system_score_gemma":0.008435463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05069085,"about_ca_topic_score_gemma":0.2068841,"domain_scores_codex":[0.9958104,0.0007279209,0.001772517,0.000438693,0.0004838979,0.0007665638],"domain_scores_gemma":[0.9976237,0.001113219,0.0004217033,0.0003044929,0.0003489102,0.0001879511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8725269,0.0003615628,0.08680192,0.0005893699,0.0001924184,0.00001903528,0.002914506,0.03466338,0.001023272,0.00001052029,0.00001278469,0.0008842549],"study_design_scores_gemma":[0.7538888,0.004400091,0.01958078,0.004301618,0.0000373378,0.00001078726,0.003516492,0.2137813,0.0001797889,0.00002365328,0.00005200256,0.0002274121],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802241,0.0007367297,0.0001814484,0.0008973224,0.0001516256,0.0176738,0.00004143752,0.00005439978,0.00003917658],"genre_scores_gemma":[0.9980744,0.000007405396,0.0002777665,0.0004864409,0.00006567204,0.0009785912,0.00001287969,0.00003270314,0.0000641298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1791179,"threshold_uncertainty_score":0.9990086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04551316608670779,"score_gpt":0.3349175486849935,"score_spread":0.2894043825982857,"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."}}