{"id":"W3159912405","doi":"10.2196/26289","title":"Postmarketing Safety Monitoring After Influenza Vaccination Using a Mobile Health App: Prospective Longitudinal Feasibility Study","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Intramuscular injections and effects","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Gesundheit","keywords":"Medicine; Vaccination; Hazard ratio; Adverse effect; Prospective cohort study; Odds ratio; Mobile apps; Omics; Longitudinal study; Pediatrics; Internal medicine; Immunology; Bioinformatics; Confidence interval; Pathology","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":[0.006704213,0.00062221,0.0004765992,0.00132714,0.001754913,0.001145704,0.0005984167,0.00117477,0.002281318],"category_scores_gemma":[0.01001586,0.001105033,0.001403746,0.0008920357,0.0006529948,0.001902273,0.001153402,0.001952267,0.001116258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007540592,"about_ca_system_score_gemma":0.001948942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007830923,"about_ca_topic_score_gemma":0.009125417,"domain_scores_codex":[0.9968876,0.001094011,0.0003484304,0.0004643637,0.0006620963,0.000543483],"domain_scores_gemma":[0.9920298,0.001566501,0.002815388,0.0007873894,0.001824684,0.0009761119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001151239,0.005467899,0.986061,0.0001068374,0.000146607,0.0001825241,0.001257118,0.00004934883,0.0003763732,0.00004929234,0.0004789217,0.004672882],"study_design_scores_gemma":[0.0002692043,0.01307402,0.9823484,0.00007451946,0.0001647109,0.0003604421,0.001790819,0.0005739505,0.0002638711,0.00005864806,0.0009815106,0.00003995154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973604,0.0000977221,0.0003998983,0.00007233053,0.00001078023,0.001021176,0.0005644285,0.00001124525,0.0004618761],"genre_scores_gemma":[0.9948344,0.0001528943,0.001469216,0.0002322858,0.00002669567,0.002016256,0.0007870249,0.000008195009,0.0004730984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007830923,"threshold_uncertainty_score":0.0354557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05860701391604077,"score_gpt":0.4283458515818958,"score_spread":0.369738837665855,"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."}}