{"id":"W4372316714","doi":"10.1016/j.jamda.2023.03.036","title":"Did the Long-Term Care Physician Workforce Change During the Pandemic? Describing MRP Trends in Ontario, Canada","year":2023,"lang":"en","type":"article","venue":"Journal of the American Medical Directors Association","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; Trillium Health Centre; University of Toronto; McMaster University; Impact","funders":"Canadian Institutes of Health Research; Ministry of Health -Singapore; Institute for Clinical Evaluative Sciences; McMaster University","keywords":"Pandemic; Medicine; Long-term care; Workforce; Descriptive statistics; Population; Coronavirus disease 2019 (COVID-19); Gerontology; Baseline (sea); Demography; Family medicine; Environmental health; Nursing; Disease","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009971609,0.0002165575,0.0002240076,0.002130519,0.002228768,0.0020524,0.001198466,0.0007663771,0.002477853],"category_scores_gemma":[0.004622056,0.0002785338,0.0003579657,0.005786199,0.0006943435,0.0007183295,0.000896282,0.0009853316,0.0002703992],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06467307,"about_ca_system_score_gemma":0.09221835,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963014,"about_ca_topic_score_gemma":0.998446,"domain_scores_codex":[0.9984409,0.00007317424,0.0001305128,0.0001028591,0.0006117392,0.0006406779],"domain_scores_gemma":[0.991914,0.0003859317,0.001670848,0.00008468315,0.004243103,0.001701393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001114247,0.00005152895,0.9549793,0.0002160928,0.00004639077,0.0002739342,0.006321901,0.0003143343,0.0002879415,0.0007610023,0.01801617,0.01862002],"study_design_scores_gemma":[0.000003008484,0.0000138797,0.9859726,0.0000706316,0.000008978386,0.00003447687,0.004939086,0.0001804081,0.00003841936,0.00001603201,0.008713799,0.000008488706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481253,0.004476758,0.0002113677,0.0168191,0.0001217994,0.0000879888,0.0145535,0.00004450453,0.01555965],"genre_scores_gemma":[0.9886043,0.003109685,0.000246747,0.001250623,0.00005886483,0.00003314733,0.00237567,0.00001692477,0.004304157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9353269,"threshold_uncertainty_score":0.4692382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04699630591274567,"score_gpt":0.3455553420216164,"score_spread":0.2985590361088707,"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."}}