{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002043278,0.00008544438,0.00009154368,0.00005376916,0.0006610715,0.00008882675,0.0006232846,0.00002249543,0.007504581],"category_scores_gemma":[0.0002354772,0.00006408394,0.00002343027,0.0005892427,0.00004554581,0.000170803,0.0004894807,0.0002298168,0.00001035666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002803013,"about_ca_system_score_gemma":0.0002178391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008583945,"about_ca_topic_score_gemma":0.0008427981,"domain_scores_codex":[0.9988831,0.0003105012,0.0002370681,0.0002330149,0.0001835481,0.0001527399],"domain_scores_gemma":[0.9990019,0.0003769284,0.0001920949,0.0003283815,0.00004190271,0.00005876227],"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":[0.00005771423,0.0004053173,0.0514988,0.0006132977,0.0002555802,0.00004149487,0.2793609,0.009228529,0.005842031,0.01854605,0.5851387,0.04901155],"study_design_scores_gemma":[0.003133901,0.0006258622,0.2329286,0.002014684,0.00009124222,0.001498963,0.1923237,0.002481546,0.006214468,0.003970433,0.5529882,0.001728389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.09327456,0.001009761,0.0004346333,0.2025703,0.0003081094,0.004281966,0.6970438,0.0003461374,0.0007306924],"genre_scores_gemma":[0.9513552,0.00001506387,0.0001829068,0.001286,0.00001118399,0.001402225,0.04571199,0.000007308468,0.00002810554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8580806,"threshold_uncertainty_score":0.9934027,"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."}}