{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007431849,0.0001591081,0.000349783,0.0001648522,0.0009656392,0.00005958943,0.0001999529,0.00004166652,0.00003053344],"category_scores_gemma":[0.00005066692,0.0001553455,0.00004334873,0.0003473572,0.00004766712,0.0003571603,0.0002596394,0.0003067259,0.00000179192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009107379,"about_ca_system_score_gemma":0.0003419819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006427221,"about_ca_topic_score_gemma":0.00004214291,"domain_scores_codex":[0.9982282,0.0002395316,0.0004456615,0.0004727276,0.0002604321,0.0003534651],"domain_scores_gemma":[0.9986866,0.0002969719,0.0003296504,0.0002657712,0.00006265447,0.0003584117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001080041,0.0005634612,0.7787176,0.03960106,0.0002223689,0.00001829463,0.02285219,0.000116496,0.00001389803,0.01005287,0.01932218,0.1284115],"study_design_scores_gemma":[0.003085331,0.001153038,0.94852,0.003856912,0.0004263721,0.0002902572,0.001295343,0.01270163,0.000007743774,0.001242238,0.02649681,0.0009243179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715704,0.01965194,0.001046253,0.004766246,0.000681815,0.001966686,0.0001830443,0.0001024936,0.00003112651],"genre_scores_gemma":[0.9592536,0.03256224,0.002361663,0.005043286,0.00007018199,0.0005463444,0.00008871373,0.00002352763,0.0000504406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1698024,"threshold_uncertainty_score":0.7427014,"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."}}