{"id":"W4321460968","doi":"10.22605/rrh8097","title":"A digital health platform to manage COVID-19: decentralizing technology to empower rural and remote jurisdictions","year":2023,"lang":"en","type":"article","venue":"Rural and Remote Health","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Digital health; Public health; mHealth; Business; Public engagement; Community engagement; Empowerment; eHealth; Internet privacy; Health informatics; Telehealth; Computer science; Public relations; Health care; Telemedicine; Medicine; Political science; Nursing","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":[0.00387097,0.0004925092,0.0003057154,0.001333505,0.001040305,0.00297428,0.001805487,0.001445596,0.01510916],"category_scores_gemma":[0.01039109,0.0003264909,0.0005274093,0.0007740964,0.0012828,0.004667167,0.008568577,0.001381738,0.003920916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007850796,"about_ca_system_score_gemma":0.0019588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001107178,"about_ca_topic_score_gemma":0.001027361,"domain_scores_codex":[0.9981177,0.0008016433,0.0001223781,0.0003600359,0.0003770874,0.0002211145],"domain_scores_gemma":[0.9932817,0.002322626,0.0005776461,0.001621402,0.000870443,0.001326189],"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":[0.0008761484,0.0008085988,0.02521586,0.0009900114,0.000111856,0.001098994,0.007568757,0.005157785,0.01714028,0.07130919,0.09853052,0.771192],"study_design_scores_gemma":[0.0004287027,0.001615274,0.01940566,0.0009944374,0.0001782165,0.00152552,0.005342346,0.03117453,0.01625108,0.09001219,0.8328436,0.0002284697],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1865975,0.002611671,0.5595288,0.05377271,0.002466276,0.003639465,0.004148084,0.02243635,0.1647991],"genre_scores_gemma":[0.6997035,0.001741628,0.2482951,0.00846047,0.001189345,0.001765234,0.002539533,0.0009472364,0.03535803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01510916,"threshold_uncertainty_score":0.05054516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02378145920720795,"score_gpt":0.3345905510541563,"score_spread":0.3108090918469483,"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."}}