{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001866821,0.0002628345,0.0006053635,0.0001715792,0.0007695775,0.00005761066,0.00004111468,0.0001188406,0.00004807307],"category_scores_gemma":[0.0001610106,0.0002471682,0.00009443706,0.0006187241,0.00003008435,0.000175992,0.0000723995,0.0005903149,0.000004384697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001313928,"about_ca_system_score_gemma":0.001400897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005743062,"about_ca_topic_score_gemma":0.0001493106,"domain_scores_codex":[0.9969282,0.0005094295,0.0006979997,0.0007424542,0.0004063629,0.0007155371],"domain_scores_gemma":[0.9982383,0.00009963413,0.0002487605,0.0004237861,0.0004041184,0.0005854168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001560424,0.001319588,0.9708389,0.002479448,0.00004892237,0.00006581003,0.002819996,0.0000275867,0.00003348611,0.00001927808,0.00001584485,0.02077071],"study_design_scores_gemma":[0.002681675,0.002593729,0.990167,0.0002767821,0.0001045998,0.0002728196,0.003069652,0.0004674341,0.00004199143,0.00002324675,0.0001308089,0.0001702427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911366,0.00364017,0.0002193386,0.000236081,0.0003900139,0.0041008,0.00001371876,0.0001176482,0.0001456873],"genre_scores_gemma":[0.9969109,0.0002100333,0.001379826,0.0004950822,0.0004991422,0.0004174133,0.00001232138,0.00003670485,0.00003860998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02060047,"threshold_uncertainty_score":0.999998,"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."}}