{"id":"W6889078701","doi":"10.25384/sage.20153864.v1","title":"Supplemental Material—Nurse Practitioners Navigating the Consequences of Directives, Policies, and Recommendations Related to the COVID-19 Pandemic in Long-Term Care Homes","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"","keywords":"Pandemic; Nursing homes; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; MEDLINE; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008988964,0.0008464371,0.001005338,0.002164937,0.001024958,0.00206571,0.001420867,0.001824118,0.8566833],"category_scores_gemma":[0.02037183,0.0004770347,0.0007226762,0.00197028,0.0002068455,0.00188233,0.001496985,0.001043535,0.2327003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009554947,"about_ca_system_score_gemma":0.002129097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005535949,"about_ca_topic_score_gemma":0.01625351,"domain_scores_codex":[0.999505,0.0001237234,0.00006718004,0.0000543888,0.0001886203,0.00006105441],"domain_scores_gemma":[0.9791973,0.01264987,0.000870209,0.000610768,0.005377958,0.001293933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006902203,0.0001163165,0.0003740369,0.0005375639,0.000005895742,0.00004960607,0.00006498903,0.00006868348,0.00005575456,0.0002239174,0.9756402,0.02279391],"study_design_scores_gemma":[0.0007174879,0.0002624347,0.01388988,0.002460854,0.00005755827,0.0006310213,0.001083771,0.001478306,0.0006350626,0.006609951,0.9720601,0.000113452],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007211457,0.001529802,0.01270776,0.01390039,0.006613522,0.003707666,0.7540423,0.02025005,0.1800371],"genre_scores_gemma":[0.05915214,0.004988362,0.08321138,0.01608292,0.004830775,0.01121885,0.407575,0.007418156,0.4055225],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8566833,"threshold_uncertainty_score":0.2044238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03888784348553667,"score_gpt":0.3535995113871471,"score_spread":0.3147116679016104,"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."}}