{"id":"W4309309291","doi":"10.3390/ijerph192215025","title":"Operational and Financial Impacts of Digital Health Technology: A Study on Canadian Healthcare System during the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Context (archaeology); Telemedicine; Digital health; Health care; Business; Medical emergency; Telehealth; Service delivery framework; Healthcare delivery; Service (business); Medicine; Nursing; Marketing; Economics; Economic growth; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002078896,0.0004070123,0.0004850825,0.001642678,0.007033073,0.002740591,0.001172457,0.0009472191,0.002385227],"category_scores_gemma":[0.008182955,0.0003753665,0.0006152387,0.005404967,0.001864655,0.001242226,0.001861305,0.001482345,0.0002147788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05514665,"about_ca_system_score_gemma":0.05471744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9823331,"about_ca_topic_score_gemma":0.987668,"domain_scores_codex":[0.9974197,0.0003619364,0.0001285254,0.0001574852,0.0005877801,0.001344586],"domain_scores_gemma":[0.9935089,0.0009379684,0.001222878,0.0001368192,0.001958665,0.002234729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003177451,0.0007832991,0.9212215,0.0002091562,0.00006640119,0.0005517077,0.04788569,0.0004647245,0.0003630677,0.0006972459,0.003257472,0.02418208],"study_design_scores_gemma":[0.00001836372,0.0001939878,0.9290149,0.0000814491,0.00002346208,0.00005836468,0.06773713,0.0004972131,0.00005659279,0.0000489547,0.002234121,0.00003551968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99686,0.0001450248,0.0000275905,0.0008100728,0.000006092725,0.00007484914,0.0005079684,0.000002637208,0.001565736],"genre_scores_gemma":[0.9987268,0.0002346505,0.00008468811,0.0002918616,0.000005143228,0.00002375797,0.0002184901,0.00000226854,0.000412392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05514665,"threshold_uncertainty_score":0.4001188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1121301453679375,"score_gpt":0.4428907442581337,"score_spread":0.3307605988901963,"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."}}