{"id":"W4287385928","doi":"10.2196/preprints.33717","title":"Developing, Implementing, and Evaluating an Artificial Intelligence–Guided Mental Health Resource Navigation Chatbot for Health Care Workers and Their Families During and Following the COVID-19 Pandemic: Protocol for a Cross-sectional Study (Preprint)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Stigma (botany); Health care; Nursing; Pandemic; Mental illness; Medicine; Psychology; Psychiatry; Coronavirus disease 2019 (COVID-19); Political science; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03198805,0.002656619,0.003732435,0.001966542,0.005900376,0.003081776,0.003064254,0.00473343,0.03835256],"category_scores_gemma":[0.03376173,0.003489596,0.005011504,0.00186008,0.003072937,0.003995108,0.002645991,0.006392153,0.008473557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008041221,"about_ca_system_score_gemma":0.03213744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01859559,"about_ca_topic_score_gemma":0.02210193,"domain_scores_codex":[0.9876292,0.006176447,0.002211051,0.0009252278,0.001403935,0.001654089],"domain_scores_gemma":[0.9785266,0.006176223,0.002847772,0.002269106,0.007859698,0.002320544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.2391944,0.2831297,0.02926215,0.06213664,0.00218155,0.001819557,0.0307997,0.006048027,0.006852771,0.005943234,0.07851786,0.2541145],"study_design_scores_gemma":[0.3466364,0.3671822,0.08893381,0.02009281,0.002288613,0.0002559642,0.03201605,0.003049271,0.007042721,0.005524824,0.126057,0.0009203432],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.01462209,0.0000922355,0.0009701352,0.0001740523,0.0001185651,0.9819853,0.001297755,0.00003729559,0.0007026751],"genre_scores_gemma":[0.003644911,0.00006408344,0.00151076,0.0001392371,0.00001474757,0.9941004,0.0002157084,0.000003151294,0.0003068853],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.03835256,"threshold_uncertainty_score":0.169171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3183207043802908,"score_gpt":0.5777746865485773,"score_spread":0.2594539821682865,"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."}}