{"id":"W4388828821","doi":"10.2196/43119","title":"Implementation of a Web-Based Chatbot to Guide Hospital Employees in Returning to Work During the COVID-19 Pandemic: Development and Before-and-After Evaluation","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; Harvard Catalyst; National Institutes of Health; Harvard University","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Chatbot; Work (physics); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Web application; World Wide Web; Computer science; Medicine; Virology; Engineering","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":[0.01687891,0.001323022,0.0006629409,0.001354838,0.001298274,0.002132036,0.002708204,0.001696151,0.003806027],"category_scores_gemma":[0.04506211,0.0009704691,0.0008347796,0.000488745,0.001449196,0.002542313,0.003303504,0.001711337,0.0009721418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002942424,"about_ca_system_score_gemma":0.004765983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005809661,"about_ca_topic_score_gemma":0.007399634,"domain_scores_codex":[0.9907274,0.005672971,0.0006081739,0.0007843664,0.0009974207,0.001209761],"domain_scores_gemma":[0.9521822,0.03213685,0.002421121,0.001873585,0.00630464,0.005081574],"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":[0.008741804,0.06469649,0.1165748,0.006904181,0.0003606651,0.002436856,0.0532229,0.01458514,0.02435097,0.001400363,0.01509486,0.6916311],"study_design_scores_gemma":[0.01011659,0.2257818,0.3868786,0.005251004,0.001787719,0.001931958,0.086108,0.1513979,0.05912418,0.003483278,0.06665924,0.001479817],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688807,0.0001551131,0.01486093,0.0007101544,0.0001101642,0.008324873,0.000502378,0.003101951,0.003353759],"genre_scores_gemma":[0.8901825,0.0002396278,0.09121002,0.001049788,0.00004724595,0.01167131,0.001080665,0.0003405064,0.004178439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01687891,"threshold_uncertainty_score":0.08926529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.137698175030026,"score_gpt":0.5413723713446638,"score_spread":0.4036741963146377,"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."}}