{"id":"W4313035128","doi":"10.2196/39649","title":"Conversational Agents and Avatars for Cardiometabolic Risk Factors and Lifestyle-Related Behaviors: Scoping Review","year":2022,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"AI in Service Interactions","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Medicine; Disease; Diabetes mellitus; MEDLINE; Randomized controlled trial; Metabolic syndrome; Psychology; Gerontology; Internal medicine; Endocrinology","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":[0.007338689,0.001307603,0.004546701,0.008724769,0.0008338935,0.003212008,0.001928566,0.002768099,0.00772508],"category_scores_gemma":[0.04081117,0.0007253177,0.005679244,0.00767477,0.0009866548,0.002457855,0.001740453,0.001633346,0.0007569207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002785157,"about_ca_system_score_gemma":0.009843459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00748159,"about_ca_topic_score_gemma":0.01342956,"domain_scores_codex":[0.9946232,0.002134637,0.001737595,0.0003836517,0.0009455295,0.0001753838],"domain_scores_gemma":[0.9508935,0.04285276,0.003475028,0.000467993,0.002040426,0.0002703748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001284676,0.00003918142,0.0002754698,0.8776345,0.001609955,0.00006179719,0.000332793,0.0001111055,0.0001101735,0.0006733412,0.002510478,0.1165128],"study_design_scores_gemma":[0.00005617075,0.0000904948,0.001047667,0.9499227,0.008849703,0.0001609699,0.0003049063,0.00006856236,0.0001130607,0.0003979733,0.03897027,0.00001754369],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002572671,0.9986394,0.0001164816,0.0002006721,0.0001039465,0.0001121142,0.0000899889,0.000006724804,0.000473442],"genre_scores_gemma":[0.004233286,0.9944653,0.0004096226,0.0003053001,0.00006805674,0.0003052771,0.00007843501,0.000004912348,0.0001298238],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008724769,"threshold_uncertainty_score":0.03881115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06129252809473142,"score_gpt":0.3923863919662272,"score_spread":0.3310938638714958,"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."}}