{"id":"W4412491441","doi":"10.1371/journal.pone.0325765","title":"Using simulation to uncover care aides physiological and emotional responses to their work: A research protocol","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Fredericton; University of New Brunswick","funders":"","keywords":"Workload; Psychological intervention; Stressor; Protocol (science); Nursing; Psychology; Burnout; Work (physics); Job satisfaction; Medicine; Applied psychology; Computer science; Psychiatry; Clinical psychology; Social psychology; Alternative medicine","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":[0.05565819,0.004454673,0.004717485,0.004932871,0.007787055,0.004137218,0.005710654,0.007537974,0.03979691],"category_scores_gemma":[0.04186806,0.004614288,0.004392533,0.003125217,0.004345816,0.003145057,0.00499819,0.009523547,0.009948167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009259563,"about_ca_system_score_gemma":0.04341718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006288019,"about_ca_topic_score_gemma":0.0111313,"domain_scores_codex":[0.9747039,0.01429254,0.004429128,0.001919889,0.00251211,0.002142408],"domain_scores_gemma":[0.9719483,0.01040087,0.002527242,0.004246771,0.008180793,0.002696016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.1187331,0.1153609,0.009792442,0.1018896,0.001306077,0.007029889,0.04572701,0.02344836,0.01864758,0.03490974,0.07107064,0.4520847],"study_design_scores_gemma":[0.1838163,0.1199748,0.03577255,0.04658559,0.001332382,0.001053903,0.03705652,0.0123511,0.01375933,0.02603587,0.5205895,0.001672094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001465214,0.00007683231,0.002278071,0.0001075438,0.00006784858,0.9949861,0.0004693459,0.00002811287,0.0005208664],"genre_scores_gemma":[0.0005995528,0.00006934416,0.001868302,0.0000383162,0.000008211771,0.9972333,0.000055562,0.000001783328,0.0001256409],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.05565819,"threshold_uncertainty_score":0.2943522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3868317380030606,"score_gpt":0.5352913024422469,"score_spread":0.1484595644391863,"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."}}