{"id":"W3092573263","doi":"10.2196/19524","title":"Applying eHealth for Pandemic Management in Saudi Arabia in the Context of COVID-19: Survey Study and Framework Proposal","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"eHealth; Pandemic; Context (archaeology); Telemedicine; Health care; Medicine; Outbreak; Population; Telehealth; Business; Nursing; Medical emergency; Environmental health; Coronavirus disease 2019 (COVID-19); Geography; Political science; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02370326,0.0002583237,0.000258525,0.002108459,0.001273571,0.00263019,0.0007198817,0.0007486573,0.001307685],"category_scores_gemma":[0.01611033,0.0002218365,0.0005897369,0.00249765,0.001049643,0.002648811,0.003017427,0.0009925748,0.000144028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008265252,"about_ca_system_score_gemma":0.01539394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02244734,"about_ca_topic_score_gemma":0.02320552,"domain_scores_codex":[0.9919237,0.005317994,0.000907828,0.0002855009,0.0006118765,0.0009530647],"domain_scores_gemma":[0.9885512,0.005867473,0.001284312,0.0002576023,0.002895998,0.001143468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003927318,0.001790827,0.4989648,0.006301379,0.0001385619,0.001305004,0.2439213,0.001375864,0.00167757,0.01865094,0.004140856,0.2213401],"study_design_scores_gemma":[0.0001409781,0.001067851,0.3050094,0.00472605,0.0001331314,0.0004852549,0.6522391,0.00527818,0.001073462,0.002089208,0.02768164,0.00007577948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783974,0.001420134,0.00401147,0.007026914,0.00003534276,0.002999155,0.0006377256,0.00001721793,0.005454782],"genre_scores_gemma":[0.9796467,0.001989546,0.01503139,0.0007810643,0.00001647513,0.001691231,0.0003102782,0.000003636389,0.0005297745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02370326,"threshold_uncertainty_score":0.1253563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0905511157286835,"score_gpt":0.4330049373912654,"score_spread":0.3424538216625819,"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."}}