{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004741161,0.0002970856,0.0004462993,0.000838202,0.0008267911,0.0004974125,0.0004633977,0.0001082255,0.000002140415],"category_scores_gemma":[0.0002164582,0.0002706197,0.00006477594,0.002097082,0.00006627514,0.0007959466,0.0008363607,0.0002960283,0.00008388815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005941185,"about_ca_system_score_gemma":0.0005602725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001953109,"about_ca_topic_score_gemma":0.0008998975,"domain_scores_codex":[0.9973171,0.00003525293,0.0005405795,0.0006291414,0.0003313064,0.001146556],"domain_scores_gemma":[0.9974219,0.0001619174,0.0001316042,0.0005371945,0.00004320774,0.001704187],"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":[0.00002999815,0.00001862375,0.0003613621,0.0002881542,0.00001779766,0.00005131554,0.004096984,0.00006383317,0.00003671105,0.005066373,0.00183924,0.9881296],"study_design_scores_gemma":[0.002895262,0.003650837,0.03347563,0.002427167,0.00001665796,0.001272654,0.005111616,0.05923428,0.00007047636,0.03440111,0.8552684,0.002175894],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2227586,0.001102541,0.3155205,0.4546859,0.0007597592,0.001754929,0.00007782872,0.002430855,0.0009090245],"genre_scores_gemma":[0.9327711,0.001352702,0.01504707,0.04938402,0.0001250992,0.000005708819,0.00003256993,0.00005096871,0.001230697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9859537,"threshold_uncertainty_score":0.9999746,"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."}}