{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001656698,0.0003529407,0.0007766127,0.001254175,0.00004768196,0.000028435,0.00005503307,0.0001647672,0.001182799],"category_scores_gemma":[0.0004094722,0.0002833437,0.00005973633,0.001061322,0.0001586794,0.0002740293,0.00005731911,0.0006235169,0.0000103205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002151259,"about_ca_system_score_gemma":0.000455185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001103763,"about_ca_topic_score_gemma":0.000861438,"domain_scores_codex":[0.9961297,0.00007237926,0.001730285,0.0007788783,0.0006655834,0.0006231726],"domain_scores_gemma":[0.9988199,0.0001808686,0.0001952291,0.0004003145,0.00007849273,0.0003251485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009007649,0.00009178655,0.8419521,0.0008798426,0.00003495548,0.01091123,0.001225972,5.966237e-7,0.0005234797,0.0001456913,0.0140111,0.1301331],"study_design_scores_gemma":[0.003797914,0.0007422589,0.9269418,0.001586687,0.0001149764,0.004399535,0.0009151257,0.0003520189,0.000448267,0.001118951,0.0593282,0.0002542666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692635,0.01085454,0.0002138044,0.01112885,0.0009273772,0.001856897,0.000007367936,0.0002144887,0.005533175],"genre_scores_gemma":[0.9935331,0.002023367,0.0003380841,0.002079715,0.001061783,0.0001126556,0.0003595723,0.00006253153,0.0004292432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1298788,"threshold_uncertainty_score":0.9999619,"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."}}