{"id":"W4312104897","doi":"10.1093/geroni/igac059.743","title":"THE LONG-TERM CARE STAFFING CRISIS AND COVID-19: ROLE OF THE NURSE PRACTITIONER","year":2022,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute","funders":"","keywords":"Staffing; Nursing; Software deployment; Long-term care; Work (physics); Coronavirus disease 2019 (COVID-19); Intervention (counseling); Scale (ratio); Medicine; Health care; Business; Political science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.00898148,0.000162139,0.000261074,0.000597769,0.01385236,0.008411757,0.001555933,0.002257209,0.005027016],"category_scores_gemma":[0.01239747,0.0002379468,0.0001847932,0.0006444784,0.01010474,0.00283674,0.007959686,0.003759544,0.0003990394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03394715,"about_ca_system_score_gemma":0.07593169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3767981,"about_ca_topic_score_gemma":0.6393594,"domain_scores_codex":[0.9923499,0.00342311,0.0001729418,0.0003754834,0.001179864,0.002498566],"domain_scores_gemma":[0.9831184,0.00299546,0.001318131,0.0001836836,0.002229324,0.01015502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001157656,0.0002175982,0.06652876,0.0006639989,0.0000208562,0.002908472,0.6903065,0.0002124708,0.00112856,0.0540271,0.08953738,0.09433255],"study_design_scores_gemma":[0.00001916917,0.00009774745,0.03162869,0.001695114,0.0000100114,0.000690014,0.7417056,0.0002146491,0.0001984089,0.003172244,0.2205106,0.00005775141],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3785817,0.01593258,0.001331566,0.5007095,0.002513501,0.0001281278,0.00009168724,0.00005169723,0.1006596],"genre_scores_gemma":[0.96439,0.007292931,0.0008066263,0.01311706,0.0002344794,0.00005723823,0.0000275306,0.00001630733,0.01405777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3767981,"threshold_uncertainty_score":0.7492098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02791724235243538,"score_gpt":0.3929811168411604,"score_spread":0.3650638744887251,"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."}}