{"id":"W4388903998","doi":"10.2196/preprints.54668","title":"Adapting and Evaluating an AI-Based Chatbot Through Patient and Stakeholder Engagement to Provide Information for Different Health Conditions: Master Protocol for an Adaptive Platform Trial (the MARVIN Chatbots Study) (Preprint)","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chatbot; Context (archaeology); Digital health; Usability; Stakeholder; Health care; Medical education; Protocol (science); Computer science; Knowledge management; Psychology; Medicine; World Wide Web; Public relations; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.05887035,0.003774341,0.004561224,0.00169433,0.004376145,0.004312255,0.002669731,0.00572674,0.05327404],"category_scores_gemma":[0.1019513,0.003021872,0.004898116,0.00177698,0.003634168,0.00413185,0.003206501,0.006574419,0.01092267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004430388,"about_ca_system_score_gemma":0.01502713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002171515,"about_ca_topic_score_gemma":0.002717888,"domain_scores_codex":[0.9691312,0.01888526,0.004239776,0.002582112,0.002957374,0.002204323],"domain_scores_gemma":[0.9508183,0.02179027,0.006773219,0.00887891,0.009404796,0.002334404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.5852823,0.06393211,0.004991434,0.03708857,0.00309386,0.0008614664,0.009134197,0.005388464,0.006579947,0.02351092,0.07767652,0.1824602],"study_design_scores_gemma":[0.6657599,0.1496507,0.01583729,0.009933367,0.001760681,0.0001683007,0.002325322,0.004698209,0.008167502,0.0147256,0.1265078,0.0004651546],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.006062434,0.00009483156,0.002772118,0.0002029667,0.000336408,0.9885386,0.000807512,0.0001042016,0.001080904],"genre_scores_gemma":[0.001896644,0.00002381299,0.001812706,0.00006820086,0.00002180854,0.9959252,0.00005443138,0.000006670945,0.0001905174],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.05887035,"threshold_uncertainty_score":0.3113399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5634038696641707,"score_gpt":0.5469450382520785,"score_spread":0.01645883141209215,"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."}}