{"id":"W4312617081","doi":"10.2139/ssrn.4231199","title":"Profits, Pandemics, and Lockdown Effectiveness: Theory and Evidence from Nursing Home Networks","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Nursing homes; Nursing; Business; Economics; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.007424957,0.000396506,0.0005152458,0.001919471,0.001137833,0.003328652,0.001189878,0.001706306,0.01143127],"category_scores_gemma":[0.06669991,0.0002985343,0.0005598331,0.002351448,0.002971658,0.007513881,0.002122601,0.002243747,0.0005676867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00239947,"about_ca_system_score_gemma":0.001211438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009791872,"about_ca_topic_score_gemma":0.008204438,"domain_scores_codex":[0.9974467,0.001366587,0.0001540753,0.0002961467,0.0003330293,0.0004034642],"domain_scores_gemma":[0.8290079,0.1417689,0.02022626,0.002559698,0.00273485,0.003702355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002329968,0.00186759,0.8111784,0.0005403515,0.0009772737,0.000401725,0.003815972,0.02981742,0.0002092937,0.04359964,0.005420632,0.09984177],"study_design_scores_gemma":[0.0007218815,0.002317329,0.7486746,0.0006533266,0.001469482,0.0004981541,0.02651609,0.05376325,0.0009475136,0.1552313,0.009021635,0.0001853323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692414,0.004122112,0.001893418,0.003062531,0.00006021026,0.00006887089,0.0004129318,0.00002714536,0.0211114],"genre_scores_gemma":[0.9984005,0.0007514801,0.0001085549,0.0001179481,0.00003100466,0.00001427591,0.00007076937,0.000003381344,0.0005020408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01143127,"threshold_uncertainty_score":0.03926736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01899464997961538,"score_gpt":0.250991643102805,"score_spread":0.2319969931231896,"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."}}