{"id":"W4220724043","doi":"10.1071/ah21263","title":"Digital health to support primary care provision during a global pandemic","year":2022,"lang":"en","type":"article","venue":"Australian Health Review","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Telehealth; Population health; Health care; Government (linguistics); Pandemic; Medicine; Nursing; Telemedicine; Preparedness; Digital health; Public health; Public relations; Medical emergency; Business; Political science; Disease; Coronavirus disease 2019 (COVID-19)","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":[0.007879901,0.0003904114,0.0007377245,0.002403641,0.0005896551,0.001956234,0.0008569194,0.001727106,0.005425618],"category_scores_gemma":[0.01727142,0.0002614773,0.001343793,0.002330749,0.0007881675,0.002053448,0.002072133,0.002258712,0.000463459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002741676,"about_ca_system_score_gemma":0.009777378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01264268,"about_ca_topic_score_gemma":0.02376596,"domain_scores_codex":[0.9959727,0.00251719,0.000416018,0.0001147963,0.0006931244,0.0002861852],"domain_scores_gemma":[0.9905589,0.006418863,0.0009071951,0.0002207852,0.001375215,0.0005190106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009251256,0.000139109,0.0009627888,0.08080146,0.0004471647,0.0001641745,0.001452094,0.0003620496,0.0002881789,0.01044536,0.03204541,0.8727996],"study_design_scores_gemma":[0.0001755218,0.0006533228,0.01470028,0.1636099,0.000908053,0.0007658377,0.002154516,0.0001943969,0.0003751641,0.002826616,0.8136022,0.00003418857],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.002267112,0.9725352,0.0002514681,0.01404062,0.0007566786,0.0001105253,0.00006347324,0.00001442773,0.009960501],"genre_scores_gemma":[0.03083768,0.9585687,0.001365664,0.007548644,0.0003968945,0.000106078,0.00006477184,0.000006501155,0.001105122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01264268,"threshold_uncertainty_score":0.04167336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0873523887327742,"score_gpt":0.4429625092694312,"score_spread":0.355610120536657,"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."}}