{"id":"W3084253064","doi":"10.2196/21692","title":"Preventing and Addressing the Stress Reactions of Health Care Workers Caring for Patients With COVID-19: Development of a Digital Platform (Be + Against COVID)","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; mHealth; Android (operating system); Nursing; Portuguese; Workload; Medicine; World Wide Web; Computer science; Psychological intervention; Political science","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":[0.006407135,0.0005343718,0.0004465482,0.001457599,0.0006933553,0.00205764,0.0008979578,0.001194435,0.004771458],"category_scores_gemma":[0.01312832,0.0001804248,0.001410205,0.0003939221,0.0005294563,0.0017409,0.002502414,0.001119028,0.001179959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004395026,"about_ca_system_score_gemma":0.003867662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007964631,"about_ca_topic_score_gemma":0.002110324,"domain_scores_codex":[0.9972784,0.001412202,0.0003166697,0.0001361037,0.0006834751,0.0001731651],"domain_scores_gemma":[0.9943423,0.002397783,0.0008332451,0.0002217921,0.001307869,0.0008968807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004728066,0.001047521,0.005506379,0.01610675,0.0001502875,0.000482788,0.001635755,0.000288268,0.003166921,0.001495997,0.01986577,0.9497808],"study_design_scores_gemma":[0.002156836,0.01384806,0.07800253,0.1070806,0.003112047,0.004646339,0.0129848,0.003879084,0.01586759,0.009701406,0.7482767,0.0004440024],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4335866,0.1923864,0.08870207,0.1069784,0.01596779,0.02113399,0.002714759,0.002952103,0.1355779],"genre_scores_gemma":[0.5214491,0.0923999,0.3417025,0.01697429,0.002149616,0.008426897,0.001781027,0.0001794232,0.01493724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006407135,"threshold_uncertainty_score":0.03388458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1925437251693313,"score_gpt":0.4512055091007995,"score_spread":0.2586617839314683,"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."}}