{"id":"W4285364236","doi":"10.2196/33717","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","year":2022,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Toronto; University of Saskatchewan; University of Alberta","funders":"Mitacs; University of Alberta","keywords":"Mental health; Health care; Nursing; Mental illness; Medicine; Psychology; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01250158,0.0002368494,0.0002955873,0.0002539113,0.006867049,0.0005809118,0.0003147328,0.00005539412,0.00003387879],"category_scores_gemma":[0.0002206601,0.0001983736,0.00008687143,0.0003487644,0.0002399628,0.0002436125,0.000647801,0.0004936879,5.81225e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001361534,"about_ca_system_score_gemma":0.0008229203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005473104,"about_ca_topic_score_gemma":0.0006404808,"domain_scores_codex":[0.9944025,0.001880334,0.001134392,0.0008750939,0.0006798948,0.001027805],"domain_scores_gemma":[0.9981865,0.0005926213,0.0004120713,0.0003125853,0.0001510558,0.0003452144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.009170742,0.001928618,0.6310535,0.007136104,0.0002145262,0.000003581574,0.1856939,0.00003037394,0.0001009373,0.004751695,0.00183267,0.1580834],"study_design_scores_gemma":[0.01635799,0.05268979,0.104621,0.001843706,0.000005755328,0.0002364604,0.6197745,0.0008167001,0.0001874246,0.0131594,0.1893716,0.0009356155],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.2641776,0.00001329533,0.0003214815,0.001378787,0.00002487562,0.7337594,0.0002425023,0.0000645601,0.00001756063],"genre_scores_gemma":[0.1168421,5.909696e-8,0.000491042,0.0002877872,0.00009026612,0.8820305,0.0001070974,0.00004458323,0.0001065247],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.5264325,"threshold_uncertainty_score":0.9944259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6393160088990043,"score_gpt":0.7047634720808343,"score_spread":0.06544746318183003,"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."}}