{"id":"W4403213607","doi":"10.3390/healthcare12192009","title":"Impact of COVID-19 Pandemic on Healthcare Utilization in People with Diabetes: A Time-Segmented Longitudinal Study of Alberta’s Tomorrow Project","year":2024,"lang":"en","type":"article","venue":"Healthcare","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Alberta","funders":"Health Canada; Alberta Cancer Foundation; Partenariat Canadien Contre Le Cancer; Alberta Health Services","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Longitudinal study; Health care; Medicine; Virology; Economic growth; Economics; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006908571,0.000395361,0.001088487,0.001126761,0.00009372753,0.00001913485,0.0001361798,0.0002315039,0.000106137],"category_scores_gemma":[0.000599956,0.0002954936,0.0001629366,0.002193623,0.00006500464,0.0001282616,0.0000464186,0.0006070812,0.00001253203],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002353345,"about_ca_system_score_gemma":0.008761679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1585404,"about_ca_topic_score_gemma":0.1879842,"domain_scores_codex":[0.9963354,0.0004376735,0.000964925,0.0007428777,0.0007845262,0.0007345994],"domain_scores_gemma":[0.9973835,0.0006712757,0.0002725322,0.0006519208,0.0003589385,0.0006618436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002028372,0.001013065,0.9642616,0.009733282,0.0001539131,0.00008367364,0.0185492,0.00008473249,0.00007244184,0.00003952237,0.000397184,0.003583012],"study_design_scores_gemma":[0.003484507,0.02339686,0.9649601,0.003051037,0.0001157665,0.00005188148,0.002888333,0.001607031,0.00002667072,0.00002448275,0.0001462964,0.0002470623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987097,0.001422843,0.0000240077,0.006957039,0.00009966193,0.004075726,0.0001326779,0.000138798,0.00005226437],"genre_scores_gemma":[0.9980174,0.0001870201,0.00002865299,0.001097403,0.0000829897,0.0001668324,0.0002104815,0.00007391797,0.0001353068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02944378,"threshold_uncertainty_score":0.9999497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1623420605756435,"score_gpt":0.4671688016283704,"score_spread":0.3048267410527269,"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."}}