{"id":"W4364353207","doi":"10.1007/s40264-023-01290-8","title":"Real-World Monitoring of COVID-19 Vaccines: An Industry Expert View on the Successes, Challenges, and Future Opportunities","year":2023,"lang":"en","type":"article","venue":"Drug Safety","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"AstraZeneca (Canada)","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Virology; Coronavirus Infections; Betacoronavirus; Engineering ethics; Infectious disease (medical specialty); Outbreak; Disease; Pathology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1010761,0.0008258361,0.0011287,0.003282818,0.001910141,0.01238755,0.003735126,0.009919105,0.004423166],"category_scores_gemma":[0.1394692,0.0006171839,0.001822261,0.002457087,0.004590858,0.0125446,0.006470334,0.01340653,0.002076262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005455232,"about_ca_system_score_gemma":0.01512308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005446931,"about_ca_topic_score_gemma":0.006931709,"domain_scores_codex":[0.928649,0.03794948,0.006968235,0.005917024,0.01730185,0.003214431],"domain_scores_gemma":[0.6721408,0.1926367,0.01935835,0.01177609,0.09099665,0.01309122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002843692,0.0002893894,0.02274736,0.005104114,0.0003066936,0.001197976,0.01053437,0.002457299,0.004858995,0.02996819,0.3215443,0.600707],"study_design_scores_gemma":[0.00006673484,0.0006332805,0.01440325,0.01300474,0.0002896077,0.001517084,0.01753829,0.00424661,0.004408725,0.04502318,0.8984525,0.00041614],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.007233926,0.06609404,0.01788639,0.8911601,0.008207155,0.0001479739,0.0003009757,0.0003264884,0.008642919],"genre_scores_gemma":[0.2569986,0.1834647,0.08228043,0.4404921,0.02278982,0.0005177527,0.0009332979,0.0006470616,0.01187629],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1010761,"threshold_uncertainty_score":0.5345482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1646068697204626,"score_gpt":0.3998933305873278,"score_spread":0.2352864608668652,"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."}}