{"id":"W4225459703","doi":"10.1016/j.jebo.2022.06.034","title":"Nursing home aversion post-pandemic: Implications for savings and long-term care policy","year":2022,"lang":"en","type":"article","venue":"Journal of Economic Behavior & Organization","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Carleton University; HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; Fondation du Risque; Agence Nationale de la Recherche","keywords":"Long-term care; Term (time); Nursing homes; Pandemic; Nursing care; Economics; Nursing; Business; Coronavirus disease 2019 (COVID-19); Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002358607,0.0001022991,0.0002260551,0.0003239293,0.001154552,0.00002238583,0.0001451754,0.00008917766,0.0002913111],"category_scores_gemma":[0.00004792849,0.00009996346,0.00006433007,0.0001433718,0.00002679772,0.0002171337,0.00006876043,0.0002720839,0.000006624909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002206149,"about_ca_system_score_gemma":0.0006766042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000448654,"about_ca_topic_score_gemma":0.00001554814,"domain_scores_codex":[0.9989501,0.0000807972,0.0005265294,0.0001482582,0.00006586313,0.000228454],"domain_scores_gemma":[0.9987559,0.00008523557,0.0004953945,0.0001313759,0.0004279901,0.0001041302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007660645,0.00008294735,0.9473831,0.00005857205,0.00001664748,0.000001272549,0.01773223,0.00003747268,0.01196157,0.0005186753,0.001906583,0.02022429],"study_design_scores_gemma":[0.001269625,0.0002678345,0.9880548,0.00005281407,0.0002272431,0.0001571372,0.008907991,0.000002266696,0.00018206,0.0002074218,0.0005307219,0.000140051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948633,0.0002060746,0.000538648,0.002454084,0.001304589,0.0004853739,0.00009014566,0.00002564303,0.00003208675],"genre_scores_gemma":[0.9985721,0.00009223558,0.0001470366,0.000133966,0.0005808155,0.00002012561,0.0002375974,0.00004062803,0.0001755602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04067171,"threshold_uncertainty_score":0.8879997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03095748339497609,"score_gpt":0.3855868051862094,"score_spread":0.3546293217912332,"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."}}