{"id":"W4283021033","doi":"10.2196/34305","title":"Vaccine Adverse Event Mining of Twitter Conversations: 2-Phase Classification Study","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Monash University","keywords":"Social media; Computer science; Vaccine safety; Event (particle physics); Resource (disambiguation); Adverse effect; Data science; Medicine; Immunization; World Wide Web; Immunology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001165919,0.0001677693,0.0002807438,0.0002189228,0.0003717145,0.000005745463,0.0003748113,0.0001195632,0.008932122],"category_scores_gemma":[0.00009737134,0.0001632445,0.0001116042,0.0004421694,0.00009008033,0.0002683642,0.0002027361,0.0009675011,0.0001089423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001413232,"about_ca_system_score_gemma":0.0002708068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006199205,"about_ca_topic_score_gemma":0.000002174996,"domain_scores_codex":[0.9975842,0.0002893066,0.001003885,0.0001285768,0.000698785,0.0002952036],"domain_scores_gemma":[0.9985827,0.0003034243,0.0004827423,0.0002390661,0.00009562834,0.0002964398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003600067,0.04216247,0.1696001,0.0009053766,0.002643882,0.0003513685,0.2879178,0.009590562,0.01028235,0.002017278,0.3674809,0.1034478],"study_design_scores_gemma":[0.02164015,0.001112364,0.006126754,0.00003457012,0.000437717,0.00009525472,0.2040614,0.2000009,0.001425423,0.00006090377,0.5644942,0.0005104024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939256,0.00002757464,0.0002441613,0.0008560588,0.0009257116,0.0009153935,0.00008453938,0.00008659976,0.00293437],"genre_scores_gemma":[0.9950925,0.00004529016,0.00008257268,0.003631243,0.0001201576,0.0004876132,0.0001425441,0.0000129486,0.0003851823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1970133,"threshold_uncertainty_score":0.9919739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.132246056489117,"score_gpt":0.4883925738319701,"score_spread":0.3561465173428531,"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."}}