{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007404537,0.0002318419,0.0008542193,0.00009821732,0.0004345825,0.00001548082,0.0001482267,0.0000278098,0.0006967813],"category_scores_gemma":[0.00005078805,0.0002163299,0.0001239551,0.0007576403,0.00001790487,0.0001231726,0.0001396078,0.0003757586,0.000101012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002997506,"about_ca_system_score_gemma":0.002576175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004616111,"about_ca_topic_score_gemma":0.00005646692,"domain_scores_codex":[0.9965025,0.0001685272,0.001224838,0.0004991149,0.0007507461,0.0008542433],"domain_scores_gemma":[0.9980035,0.00001805999,0.0004044172,0.0004322111,0.000077673,0.001064178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008520389,0.00007790385,0.08589806,0.05044555,0.00001523249,0.00004454624,0.0004522325,7.805293e-7,0.000003403935,0.00001623103,0.1414864,0.7214744],"study_design_scores_gemma":[0.001468605,0.004375507,0.1993033,0.003349059,0.00003232735,0.0007435775,0.0006518754,1.610286e-7,0.000001302597,0.000004806364,0.7899058,0.0001636737],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3261873,0.1755468,0.00009476158,0.461001,0.001432829,0.02923758,0.002560526,0.000979805,0.00295945],"genre_scores_gemma":[0.6214137,0.03849194,0.001414109,0.32667,0.000609287,0.001253083,0.00659911,0.00009923211,0.003449493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7213107,"threshold_uncertainty_score":0.8821678,"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."}}