{"id":"W4408543868","doi":"10.3201/eid3104.241463","title":"Population-Based Matched Cohort Study of COVID-19 Healthcare Costs, Ontario, Canada","year":2025,"lang":"en","type":"article","venue":"Emerging infectious diseases","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Health care; Cohort; Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Cohort study; Population; Pandemic; Geography; Demography; Environmental health; Virology; Outbreak; Economic growth; Disease; Internal medicine; Infectious disease (medical specialty); Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006507123,0.0003956402,0.0004641701,0.001055105,0.002847505,0.00100716,0.0009974388,0.000373477,0.002393583],"category_scores_gemma":[0.00167982,0.0005102078,0.0006831448,0.003859884,0.0004152504,0.0004263979,0.0006549699,0.0006190074,0.000293616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03052337,"about_ca_system_score_gemma":0.02669364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940469,"about_ca_topic_score_gemma":0.9962852,"domain_scores_codex":[0.9990575,0.00006610473,0.00007967063,0.0002122264,0.0003188877,0.000265611],"domain_scores_gemma":[0.9986841,0.00004644896,0.0002863061,0.00008047505,0.0006554693,0.0002470908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001257182,0.00004587234,0.9932922,0.0000468466,0.0001445022,0.00008284185,0.0002962138,0.0001506108,0.0001423088,0.0002204797,0.003177374,0.002274981],"study_design_scores_gemma":[0.00002968184,0.00002014126,0.9975973,0.00002981823,0.00005208169,0.0000350276,0.0002794811,0.00033256,0.00002365583,0.00003715602,0.001554978,0.000008165552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500653,0.001519811,0.0005852224,0.0005797717,0.00003631253,0.0003061313,0.0426698,0.00002138681,0.004216156],"genre_scores_gemma":[0.9849666,0.0008020549,0.000533693,0.0002168587,0.00001524879,0.0001425106,0.01023672,0.000009537936,0.003076644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03052337,"threshold_uncertainty_score":0.2214636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852901913315445,"score_gpt":0.3529613345496432,"score_spread":0.3344323154164887,"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."}}