{"id":"W4386158300","doi":"10.1093/fampra/cmad089","title":"The association between patients’ frailty status, multimorbidity, and demographic characteristics and changes in primary care for chronic conditions during the COVID-19 pandemic: a pre-post study","year":2023,"lang":"en","type":"article","venue":"Family Practice","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; McMaster University; University of Toronto","funders":"","keywords":"Medicine; Medical prescription; Kidney disease; Pandemic; Chronic condition; Disease; Diabetes mellitus; Odds ratio; Gerontology; Internal medicine; Demography; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty)","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":[0.001657317,0.0002530842,0.0004817978,0.00112428,0.0007498037,0.0008559794,0.0004713365,0.0006531656,0.001641852],"category_scores_gemma":[0.005047691,0.0003753185,0.0008408998,0.001394902,0.0006080669,0.001073091,0.0009942752,0.001228014,0.0002837351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009596811,"about_ca_system_score_gemma":0.0009404012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02076781,"about_ca_topic_score_gemma":0.03086379,"domain_scores_codex":[0.998841,0.0002899684,0.0001324839,0.0001962967,0.0002408064,0.0002995224],"domain_scores_gemma":[0.99496,0.0008231018,0.001887006,0.0002996946,0.0006379641,0.001392196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009486191,0.0000531296,0.9989657,0.000008178352,0.00003009249,0.00003741979,0.0001664359,0.000008435144,0.00003183366,0.00000422767,0.00005668641,0.0005428311],"study_design_scores_gemma":[0.000001710195,0.000115659,0.9996424,0.000002211965,0.00000576352,0.00002582045,0.000146206,0.00001473092,0.00000508591,0.000002038447,0.00003689246,0.000001508762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990551,0.0001348585,0.00002232252,0.00007107138,0.000007497873,0.00001499462,0.0003486845,0.000001447746,0.0003440632],"genre_scores_gemma":[0.9994916,0.00005569027,0.00002420447,0.00003681372,0.00001116237,0.00001319152,0.0002607134,0.000001022675,0.0001055902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02076781,"threshold_uncertainty_score":0.04129386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06930267127254153,"score_gpt":0.3675468029675655,"score_spread":0.298244131695024,"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."}}