{"id":"W4411959249","doi":"10.2196/79966","title":"A conversational agent for providing personalized PrEP support: Protocol for chatbot implementation and evaluation (Preprint)","year":2025,"lang":"en","type":"preprint","venue":"JMIR Research Protocols","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Protocol (science); Computer science; Chatbot; World Wide Web; Medicine","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":[0.06716352,0.002723823,0.002308504,0.002283981,0.004619055,0.003378245,0.00288547,0.004361382,0.1810572],"category_scores_gemma":[0.09386508,0.002812197,0.001832303,0.001554764,0.002635337,0.002434966,0.004373217,0.004827208,0.04973095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004072578,"about_ca_system_score_gemma":0.01400985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003226339,"about_ca_topic_score_gemma":0.003619026,"domain_scores_codex":[0.9643257,0.0237407,0.00494891,0.002494111,0.00283494,0.001655782],"domain_scores_gemma":[0.9096205,0.03993082,0.004234693,0.01678521,0.02500105,0.004427761],"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":[0.04941797,0.0211001,0.004353646,0.03690702,0.0005388419,0.001010911,0.01703693,0.007418526,0.02572804,0.02057742,0.2994153,0.5164953],"study_design_scores_gemma":[0.04494407,0.02777284,0.01763465,0.01443603,0.0006477063,0.0003772644,0.007078711,0.01179454,0.03616054,0.0183057,0.819832,0.001015983],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.009871703,0.0003517118,0.05975279,0.0006894182,0.0009493441,0.9040686,0.009711587,0.003134231,0.0114706],"genre_scores_gemma":[0.003277452,0.00007688517,0.01965834,0.0002300227,0.00003675625,0.974197,0.0006694698,0.0001340262,0.001720021],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1810572,"threshold_uncertainty_score":0.6056967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4736918761639891,"score_gpt":0.6516450658894858,"score_spread":0.1779531897254967,"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."}}