{"id":"W4295508008","doi":"10.2196/37734","title":"A Relational Agent for the COVID-19 Patients: Design, Approach, and Implications (Preprint)","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Psychological intervention; Likert scale; Coronavirus disease 2019 (COVID-19); Pandemic; Health care; System usability scale; Psychology; Medicine; Personal protective equipment; Applied psychology; Medical education; Nursing; Web usability; Computer science; Human–computer interaction","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":[0.008331148,0.0005258098,0.0002333149,0.0005318102,0.001019307,0.002561959,0.001820547,0.001466118,0.003983241],"category_scores_gemma":[0.008185347,0.0003645768,0.0004524584,0.0002896583,0.001286976,0.00159864,0.00172303,0.0009520157,0.0006200142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451877,"about_ca_system_score_gemma":0.002873173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001113496,"about_ca_topic_score_gemma":0.001454534,"domain_scores_codex":[0.9941388,0.004606477,0.0002213575,0.0003389088,0.0004563031,0.0002382008],"domain_scores_gemma":[0.9952711,0.002895324,0.0002801358,0.0003423119,0.0006614389,0.0005496295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003700349,0.01243093,0.05288386,0.01088905,0.0002693174,0.00400171,0.09000767,0.01588916,0.07722051,0.04954982,0.01231356,0.670844],"study_design_scores_gemma":[0.006327834,0.06289764,0.07508727,0.005599529,0.001799273,0.006820927,0.1424362,0.1106912,0.08778782,0.0349672,0.4647706,0.0008144668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6240098,0.001733926,0.3103286,0.00457392,0.0003150712,0.03084719,0.0004832149,0.001330393,0.02637793],"genre_scores_gemma":[0.5064604,0.0009380812,0.4688158,0.0008495955,0.00003913614,0.0154858,0.0002469887,0.0001349124,0.007029235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008331148,"threshold_uncertainty_score":0.04405987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2205344401103169,"score_gpt":0.425543800679224,"score_spread":0.2050093605689071,"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."}}