{"id":"W4283690235","doi":"10.1111/jan.15333","title":"Focusing on fundamentals of care in an <scp>ICU</scp> setting during a pandemic","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Nursing","topic":"Disaster Response and Management","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sinai Health System","funders":"","keywords":"Staffing; Pandemic; Acute care; Coronavirus disease 2019 (COVID-19); Surge Capacity; Economic shortage; Medicine; Nursing; Medical emergency; Health care; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007921809,0.0001238952,0.0003333469,0.0004894429,0.0005035856,0.000009202265,0.0001949577,0.00003737762,0.00002818065],"category_scores_gemma":[0.0001332192,0.0001224239,0.00008719154,0.0002679012,0.00002500454,0.0003411634,0.00009349827,0.0007485807,0.000001682823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147369,"about_ca_system_score_gemma":0.0001339557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003884003,"about_ca_topic_score_gemma":0.00001377873,"domain_scores_codex":[0.9976149,0.0006112168,0.00079484,0.0001574747,0.0004270454,0.0003944986],"domain_scores_gemma":[0.9984583,0.0003084338,0.0008812684,0.0001719017,0.00008547142,0.00009460193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.003591523,0.0009021046,0.04858623,0.001039739,0.00008237512,0.0003329895,0.4087358,0.0528908,0.2109342,0.0003651609,0.0004665777,0.2720725],"study_design_scores_gemma":[0.004294232,0.001657826,0.03623867,0.004964957,0.00004886472,0.00004135277,0.9423654,0.00005472685,0.003035494,0.0007221358,0.006471791,0.0001045423],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953291,0.0007119505,0.00007627664,0.0001576246,0.0008170613,0.0003342602,0.00000691192,0.00001588772,0.002550874],"genre_scores_gemma":[0.9982586,0.00003063993,0.001094329,0.0002248284,0.0001572162,0.00001285457,0.000002131525,0.00002803775,0.000191358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5336296,"threshold_uncertainty_score":0.4992303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03472724484846015,"score_gpt":0.4237511588036024,"score_spread":0.3890239139551422,"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."}}