{"id":"W4312559231","doi":"10.2196/39045","title":"COVID-19 Vaccine Equity and Access: Case Study for Health Care Chatbots","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; Medical Center, University of Rochester; National Institutes of Health; Georgia Clinical and Translational Science Alliance; University of Rochester","keywords":"Misinformation; Health equity; Public relations; Health care; Public health; Pandemic; Telehealth; Equity (law); Political science; Medicine; Medical education; Psychology; Business; Telemedicine; Coronavirus disease 2019 (COVID-19); Nursing","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":[0.008302793,0.0007555342,0.0006195797,0.002182969,0.01502087,0.00380459,0.002523099,0.004232837,0.006313943],"category_scores_gemma":[0.02320693,0.0007654768,0.0006990583,0.001516745,0.004069699,0.003319686,0.006853255,0.00353699,0.0004974405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005342111,"about_ca_system_score_gemma":0.004536442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01866372,"about_ca_topic_score_gemma":0.04054945,"domain_scores_codex":[0.9904876,0.006519458,0.0002735147,0.000494816,0.0006252311,0.001599385],"domain_scores_gemma":[0.9770728,0.0163991,0.001602222,0.000656551,0.001211837,0.003057455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002014581,0.003295145,0.06434403,0.0007875316,0.00003597499,0.05072542,0.8305156,0.0002200168,0.001364716,0.006456718,0.004038909,0.03801447],"study_design_scores_gemma":[0.0000540331,0.0008186912,0.02364759,0.0007411538,0.00004566075,0.01580767,0.9392776,0.001877337,0.0009276191,0.001624105,0.01511312,0.00006529794],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884267,0.0004329214,0.001351424,0.00268041,0.00005061405,0.0004642341,0.00005990389,0.00002528749,0.006508316],"genre_scores_gemma":[0.992794,0.0005575308,0.002256861,0.0008127784,0.00004377595,0.0004439983,0.00004060895,0.00002303419,0.003027354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01866372,"threshold_uncertainty_score":0.04390991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2224859217521865,"score_gpt":0.5828387068459847,"score_spread":0.3603527850937982,"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."}}