{"id":"W4403170382","doi":"10.2196/59138","title":"Temporary Telemedicine Policy and Chronic Disease Management in South Korea: Retrospective Analysis Using National Claims Data","year":2024,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Telemedicine; Disease management; Medicine; Internet privacy; Business; Computer security; Computer science; World Wide Web; Health care; Alternative medicine; Health management system; Economic growth; Pathology; Economics","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":[0.001507056,0.0002549269,0.0003052948,0.001608253,0.0004232121,0.000710749,0.0004306456,0.0003247918,0.001000694],"category_scores_gemma":[0.002701229,0.0004296516,0.0007308731,0.002897487,0.0003937492,0.0007451912,0.0008986745,0.0005544218,0.0001183929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008267483,"about_ca_system_score_gemma":0.001131065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0101977,"about_ca_topic_score_gemma":0.009368171,"domain_scores_codex":[0.9986823,0.000294756,0.000395116,0.0002651669,0.000214183,0.0001484712],"domain_scores_gemma":[0.9948438,0.0006924794,0.003322009,0.0003793928,0.0003560467,0.0004062658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000438672,0.00001994092,0.9991621,0.00001790562,0.00004288556,0.00004409255,0.00005539545,0.00003057177,0.00004086635,0.00000854712,0.00005904857,0.0004748328],"study_design_scores_gemma":[0.000006630502,0.00005395316,0.9988945,0.00001651786,0.00004165548,0.0001556787,0.0003887162,0.0002333302,0.00004747583,0.000009589224,0.0001478154,0.00000427029],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982349,0.0001857656,0.00007808231,0.00004390819,0.000003053695,0.00002514129,0.001259213,0.000002205371,0.000167696],"genre_scores_gemma":[0.9985365,0.0001117219,0.00008140386,0.00003402099,0.000004475743,0.00003760615,0.001153498,0.00000121319,0.00003959423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0101977,"threshold_uncertainty_score":0.02027667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07161221127476862,"score_gpt":0.4115455096591495,"score_spread":0.3399332983843809,"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."}}