{"id":"W4284711292","doi":"10.2196/38043","title":"Contextual Conversational Agent to Address Vaccine Hesitancy: Protocol for a Design-Based Research Study","year":2022,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"AI in Service Interactions","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Al Jalila Foundation; Pfizer","keywords":"Usability; Computer science; Iterative design; Misinformation; Protocol (science); Research design; Knowledge management; Human–computer interaction; Medicine; Engineering; Computer security","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":[0.1218963,0.004978685,0.00522718,0.0055008,0.007114299,0.006793477,0.004035279,0.01012939,0.07173859],"category_scores_gemma":[0.1888815,0.003797198,0.004843941,0.004597991,0.005679212,0.005408162,0.004749235,0.01214053,0.01697771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01241472,"about_ca_system_score_gemma":0.04017714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003233998,"about_ca_topic_score_gemma":0.006262467,"domain_scores_codex":[0.9114659,0.0605162,0.01158915,0.004136616,0.008151216,0.004140895],"domain_scores_gemma":[0.8641018,0.05679163,0.01223914,0.02475228,0.03651872,0.005596432],"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":[0.08044644,0.02364997,0.001830634,0.1742458,0.001104739,0.002507098,0.04060067,0.009803801,0.01062498,0.07182764,0.2004127,0.3829455],"study_design_scores_gemma":[0.09180935,0.02873058,0.005584411,0.06771879,0.0007611816,0.000425925,0.01646731,0.005504553,0.01040407,0.03422573,0.7375643,0.0008038323],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0004855194,0.000103182,0.002948742,0.0001816885,0.0002286205,0.9948233,0.0004690215,0.00005817674,0.0007016427],"genre_scores_gemma":[0.0003066329,0.00004435491,0.0022018,0.00008081232,0.0000104785,0.997179,0.0000328193,0.000002914713,0.0001412239],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1218963,"threshold_uncertainty_score":0.6446571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6218621546451713,"score_gpt":0.6110123777213574,"score_spread":0.01084977692381384,"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."}}