{"id":"W4390081196","doi":"10.1093/geroni/igad104.3313","title":"EXAMINATION OF STAFFING STABILITY IN LONG-TERM CARE","year":2023,"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":"Ontario Tech University","funders":"","keywords":"Staffing; Workforce; Casual; Nursing; Long-term care; Professional development; Psychology; Medicine; Medical education; Political science","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":[0.003368459,0.000170785,0.0001808492,0.001493855,0.001530548,0.001149018,0.0009292964,0.0002334571,0.001390703],"category_scores_gemma":[0.01080836,0.0001456451,0.0003022314,0.00146598,0.0008261738,0.0004374899,0.001127035,0.0003214577,0.000132734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009006314,"about_ca_system_score_gemma":0.007228796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3368805,"about_ca_topic_score_gemma":0.3990719,"domain_scores_codex":[0.9982548,0.0002348904,0.0002257848,0.0001153833,0.0007992464,0.0003699558],"domain_scores_gemma":[0.9892313,0.0009454846,0.003539137,0.000215516,0.004449163,0.001619371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008160257,0.00003404385,0.9857167,0.00004314588,0.00002686265,0.0000417729,0.003647536,0.0001242699,0.0001781963,0.00004705459,0.0002364092,0.009822315],"study_design_scores_gemma":[0.000001235576,0.0000687619,0.9955772,0.0000234754,0.000005760153,0.00001884982,0.003682388,0.000189542,0.00007726649,0.00001792405,0.0003327895,0.000004811429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980767,0.0001274772,0.0001867282,0.00008373892,0.00000704707,0.00002677294,0.0002200845,0.000006263229,0.001265291],"genre_scores_gemma":[0.9994948,0.0000291031,0.0001235697,0.00000873302,0.000002547228,0.00001247303,0.000108936,9.06102e-7,0.0002190342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3368805,"threshold_uncertainty_score":0.6698393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0706453699358629,"score_gpt":0.4132127197123712,"score_spread":0.3425673497765083,"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."}}