{"id":"W3184016491","doi":"10.12927/hcq.2021.26552","title":"Impact of the COVID-19 Pandemic on Health System Use in Canada","year":2021,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Health Information","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Health care; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medical emergency; Medicine; Healthcare system; Emergency department; Best practice; Family medicine; Nursing; Political science; Virology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005595039,0.0002577705,0.0008088277,0.0001622172,0.0001611145,0.00001716588,0.0001466971,0.0001368285,0.00003588618],"category_scores_gemma":[0.0004970958,0.0001826803,0.0002115316,0.0007699314,0.00003875068,0.00006717697,0.00001758741,0.0006691161,0.000005900724],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01777621,"about_ca_system_score_gemma":0.1137256,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943704,"about_ca_topic_score_gemma":0.9967924,"domain_scores_codex":[0.9963594,0.0007798439,0.0009168179,0.000457968,0.0006889456,0.0007970352],"domain_scores_gemma":[0.9963773,0.0006663135,0.0003415467,0.0009975884,0.0002507638,0.001366482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003302531,0.0000896016,0.9724258,0.003670383,0.00003218705,0.0002823743,0.002396428,0.00003684317,0.00004199966,0.0003840035,0.004653706,0.01565649],"study_design_scores_gemma":[0.001791183,0.002050643,0.9877697,0.001142706,0.00001161047,0.0005740155,0.00316026,0.00007681191,0.00000718606,0.00002972908,0.003237699,0.0001484221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.908374,0.0008067461,0.00001889687,0.08904515,0.0004631319,0.0009296212,0.0002675574,0.00005578345,0.00003916134],"genre_scores_gemma":[0.9634056,0.00008444976,0.00002133276,0.03621918,0.0001109534,0.00002268466,0.00003622561,0.00003203748,0.00006751939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09594934,"threshold_uncertainty_score":0.9859944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1093366832220983,"score_gpt":0.4092363427822998,"score_spread":0.2998996595602014,"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."}}