{"id":"W2799754918","doi":"10.1186/s12889-018-5510-x","title":"Impact of new technologies on stress, attrition and well-being in emergency call centers: the NextGeneration 9–1-1 study protocol","year":2018,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Occupational Safety and Health; Centers for Disease Control and Prevention; U.S. Department of Health and Human Services","keywords":"Medicine; Biostatistics; Protocol (science); Attrition; Public health; Medical emergency; Epidemiology; Alternative medicine; Nursing; Dentistry; Pathology","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":[0.02431359,0.003409263,0.004124233,0.002794205,0.007787489,0.004121218,0.004874723,0.005470673,0.03722485],"category_scores_gemma":[0.01683026,0.004095415,0.003992197,0.002409724,0.002361222,0.003773371,0.003658842,0.007047009,0.01349524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006623784,"about_ca_system_score_gemma":0.0283751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01156406,"about_ca_topic_score_gemma":0.02047958,"domain_scores_codex":[0.9898201,0.004639071,0.001857711,0.001284916,0.0009868169,0.0014115],"domain_scores_gemma":[0.9841377,0.002727212,0.002386547,0.001528707,0.006718564,0.002501301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.1585118,0.1026001,0.1361322,0.04467512,0.002566288,0.002989701,0.02486201,0.007588022,0.005060417,0.01654306,0.3234688,0.1750025],"study_design_scores_gemma":[0.1130543,0.0777133,0.2868443,0.01731557,0.001733181,0.0007320324,0.02813079,0.006687407,0.004148579,0.01288874,0.4494124,0.001339341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.01186686,0.0001921509,0.001473658,0.0003603805,0.0001595721,0.9768374,0.007043874,0.00006052654,0.002005461],"genre_scores_gemma":[0.002704091,0.00008501194,0.001171686,0.0001492954,0.00002177642,0.9945447,0.0009085669,0.000005777571,0.0004091096],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.03722485,"threshold_uncertainty_score":0.1285841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0711949297387697,"score_gpt":0.4071336910247872,"score_spread":0.3359387612860175,"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."}}