{"id":"W2979692182","doi":"10.1097/dcc.0000000000000384","title":"The Impact of HeartMath Resiliency Training on Health Care Providers","year":2019,"lang":"en","type":"article","venue":"Dimensions of Critical Care Nursing","topic":"Healthcare professionals’ stress and burnout","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"CARE Canada","funders":"","keywords":"Training (meteorology); Nursing; Health care; Psychology; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002146735,0.0001837909,0.0001363801,0.000239558,0.0009919655,0.0005191425,0.000504679,0.0005678767,0.007361622],"category_scores_gemma":[0.007937304,0.0001178686,0.0003840613,0.0001812039,0.0003717341,0.0003931275,0.00124689,0.0008712952,0.0002134858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092951,"about_ca_system_score_gemma":0.002749325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003518408,"about_ca_topic_score_gemma":0.008641367,"domain_scores_codex":[0.9986464,0.0007539634,0.00003124731,0.00004215955,0.0001390561,0.0003872037],"domain_scores_gemma":[0.9952745,0.001620486,0.0004188592,0.0001060631,0.0003090135,0.002270942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003826093,0.02669353,0.1554647,0.002474386,0.0004664097,0.001341111,0.01170449,0.001375532,0.00397943,0.0008811675,0.01621535,0.7755777],"study_design_scores_gemma":[0.002107646,0.02550275,0.9153497,0.003110663,0.0004371503,0.0006127856,0.02717085,0.001235864,0.0017686,0.0008635718,0.02176463,0.00007573577],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826894,0.00138284,0.0001871683,0.006405052,0.0002242152,0.0002205197,0.00006906437,0.00002247227,0.008799278],"genre_scores_gemma":[0.9972554,0.0008779914,0.0005636333,0.0005806267,0.00009095912,0.00009859818,0.00002815281,0.000002730037,0.0005019609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007361622,"threshold_uncertainty_score":0.02462709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06995358081790966,"score_gpt":0.5021616546639271,"score_spread":0.4322080738460175,"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."}}