{"id":"W4401332172","doi":"10.1089/tmr.2024.0027","title":"Telemedicine Utilization in Tertiary, Specialized, and Secondary Hospitals in Thailand","year":2024,"lang":"en","type":"article","venue":"Telemedicine Reports","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Health Systems Research Institute; Thai Health Promotion Foundation; United Nations Development Programme; World Health Organization","keywords":"Telemedicine; Tertiary care; Medical emergency; Medicine; Business; Operations management; Family medicine; Engineering; Health care; Economic growth; Economics","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":[0.0005913506,0.0001575935,0.0001589868,0.0009907816,0.0004792171,0.0009446235,0.0002275956,0.0002300476,0.003436341],"category_scores_gemma":[0.002459136,0.0001258549,0.000257908,0.001832037,0.0003323329,0.0004752842,0.0008697191,0.0003932889,0.0001766333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001187924,"about_ca_system_score_gemma":0.001600222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01274666,"about_ca_topic_score_gemma":0.009716681,"domain_scores_codex":[0.9991354,0.0002516849,0.0001714124,0.0001094838,0.0001414777,0.0001904737],"domain_scores_gemma":[0.9959298,0.0008311207,0.001687481,0.0000796275,0.0003691829,0.001102856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008344248,0.00008220408,0.9915593,0.00009740485,0.00001771367,0.0002538735,0.0009273306,0.00008994681,0.0001692519,0.00004879356,0.0003552773,0.006315387],"study_design_scores_gemma":[0.000008004763,0.0001999814,0.9923353,0.00008439752,0.00001236288,0.0005541267,0.00583325,0.0002891248,0.0001691727,0.00002585364,0.0004805427,0.000007991461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984393,0.0001884153,0.00004902568,0.0001258167,0.00000347247,0.00001224617,0.000547319,0.000003955337,0.0006306028],"genre_scores_gemma":[0.9992416,0.0002108862,0.00004932015,0.00004871818,0.000005418632,0.00001531396,0.0002849937,0.000001241428,0.0001425764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01274666,"threshold_uncertainty_score":0.02534491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02428590008246981,"score_gpt":0.3427627841615909,"score_spread":0.3184768840791211,"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."}}