{"id":"W4405185713","doi":"10.2196/55846","title":"MARIA (Medical Assistance and Rehabilitation Intelligent Agent) for Medication Adherence in Patients With Heart Failure: Empirical Results From a Wizard of Oz Systematic Conversational Agent Design Clinical Protocol","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Preprint; Protocol (science); Medication adherence; Medicine; Computer science; Psychology; World Wide Web; Alternative medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.05110565,0.001368346,0.001307877,0.001496551,0.001728507,0.001723355,0.00208067,0.002076401,0.005542419],"category_scores_gemma":[0.1037079,0.0008252469,0.001447079,0.001019474,0.001758692,0.001427781,0.002510693,0.001583715,0.0008552917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003778835,"about_ca_system_score_gemma":0.01019782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00248372,"about_ca_topic_score_gemma":0.003355492,"domain_scores_codex":[0.9508352,0.03871008,0.005936378,0.001449189,0.001929231,0.001139944],"domain_scores_gemma":[0.9077154,0.07292708,0.004655014,0.004140834,0.008127289,0.002434324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.06257888,0.09146763,0.02045079,0.03975734,0.001078847,0.001582683,0.06555379,0.01591522,0.008874509,0.005200642,0.009002259,0.6785375],"study_design_scores_gemma":[0.2106081,0.4766996,0.08528812,0.01510435,0.00518083,0.001115964,0.05818973,0.03346118,0.02529982,0.01010542,0.07789316,0.001053733],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.6599895,0.001084958,0.03388934,0.0006196151,0.0001432605,0.2988452,0.001828756,0.0003031907,0.003296163],"genre_scores_gemma":[0.3083464,0.001112547,0.0894977,0.000455566,0.0000539695,0.5982227,0.0008388223,0.00004744115,0.001424891],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.05110565,"threshold_uncertainty_score":0.2702757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08008450309967992,"score_gpt":0.4475013434839293,"score_spread":0.3674168403842494,"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."}}