{"id":"W4403910859","doi":"10.12927/hcq.2024.27439","title":"Response to “Hospital Staffing and Hospital Harm Trends Throughout the COVID-19 Pandemic” by Campbell et al. (2024)","year":2024,"lang":"en","type":"letter","venue":"Healthcare Quarterly","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Patient Safety Institute","funders":"","keywords":"Pandemic; Staffing; Coronavirus disease 2019 (COVID-19); Harm; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Medical emergency; Best practice; Health administration; Nursing; Psychology; Public health; Virology; Political science; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.005618582,0.0009109917,0.0009569119,0.000689555,0.007749473,0.003345397,0.002338651,0.04903491,0.008739984],"category_scores_gemma":[0.02009744,0.0009445872,0.0009565405,0.0005807307,0.002405939,0.003818769,0.002525047,0.03854353,0.004900188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004982094,"about_ca_system_score_gemma":0.01254931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03127674,"about_ca_topic_score_gemma":0.05897017,"domain_scores_codex":[0.9962962,0.001297468,0.000313821,0.0004149773,0.000905991,0.0007716306],"domain_scores_gemma":[0.9896853,0.004334995,0.0005746546,0.0002448941,0.002157311,0.003002936],"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":[0.00003747049,0.00004272422,0.0006238502,0.00003740023,0.000005278286,0.001262035,0.000564509,0.00003356496,0.000186184,0.0008000726,0.9925879,0.003819103],"study_design_scores_gemma":[0.00009503052,0.00019777,0.003834957,0.0005315535,0.00002121398,0.001786767,0.004739762,0.0005593665,0.0003095651,0.003481123,0.9843342,0.0001087092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001038348,0.0004180261,0.00007794714,0.9863805,0.009060129,0.00002813592,0.00008602213,0.00003859944,0.002872405],"genre_scores_gemma":[0.003551764,0.0002925367,0.0001992938,0.9804795,0.006481602,0.00005950345,0.00003153232,0.00002231026,0.008881963],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04903491,"threshold_uncertainty_score":0.06218934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05890712721475316,"score_gpt":0.4395124823932738,"score_spread":0.3806053551785206,"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."}}